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    20 April 2019, Volume 40 Issue 4 Previous Issue    Next Issue

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    A comparative study of the interdisciplinarity of big data research in China and the USA
    Lv Xiaozan, Wang Hui, Zhou Ping
    2019, 40(4): 1-13. 
    Abstract ( 346 )  
    Due to the advancement of science and technology, and the complexity of social issues, research integrating knowledge from different disciplines becomes increasingly common. As a symbol of innovation and creativity, interdisciplinary research is considered to have great potential success in achieving breakthroughs, generating outcomes and addressing societal problems. All these help to rejuvenate science and promote its ongoing “health”.Big data research, for example, is such a typical interdisciplinary field involving various domains such as science, engineering, medicine, healthcare, finance, business, public administration, and so on. Because of its rapid and widespread application, big data research has also attracted growing attention from academic communities, as can be reflected by the enormous publications in recent years. In the context of the importance of big data development which has already been part of the national strategy in many countries, and the diversity of its research areas, this current paper, based on publications indexed in the Web of Science (WoS) during 2009-2016, examines and compares the interdisciplinarity of big data research in China and the USA by applying bibliometric methods and visualization tools. Perspectives include interdisciplinarity measured as Rao-Stirling Index, distribution of core disciplines, relationship between interdisciplinarity and citation impact, as well as discipline maps based on journals in publication references. The reason for applying the Rao-Stirling Index in this study is because it takes into account not only variety and balance but also distance between subject categories, and has been widely used in interdisciplinary studies. The current study contributes to a more comprehensive understanding of the interdisciplinarity of big data research in the two most-productive countries in the world, and may shed light on related efforts.The results confirm that big data research involves a wide range of fields as expected. Combining all publications of China and the US, on average one paper cites publications from six disciplines-respectively five and seven for publications of China and the US. Although the interdisciplinarity of research in both countries is increasing with time, that of the US is always higher than that of China in the studied period. In addition, the US publications not only cover more disciplines but have a more balanced disciplinary distribution. Main disciplines involved in big data research include Mathematics and Computer Science, Biomedical and Health Sciences, as well as Social Sciences and Humanities. To be specific, the vast of the references of the US publications belong to sub-fields such as multidisciplinary science, computer information systems, biochemistry and molecular biology, electrical and electronic engineering and artificial intelligence. By comparison, publications of China cite fewer disciplines with Mathematics and Computer Science as the main fields, inclusive of electrical and electronic engineering, artificial intelligence, computer information system, theoretical methods and software engineering. In recent years, the USA becomes growing active in applying big data with studies relevant to social sciences and humanities, where big data is considered as an efficient tool to solve practical problems in social economy development. Meanwhile, problems and challenges brought by big data are highlighted, for instance, data security, privacy, copyright, protection, media information integrity and so on. Nonetheless, the dominant share of Mathematics and Computer Science references in both the US and Chinese papers reveal that these disciplines are core knowledge foundation in big data field. Based on the clustering and visualization functions of VOS viewer, the cited journal maps of both China and the US can be displayed, providing more intuitive and comprehensive view of the distributions of involved disciplines. With regard to the relationship between interdisciplinarity and citation impact, positive correlations has been found in our study. In other words, the more disciplines referenced, the more citations a paper may receive. One of the possible explanations is that, more and wider sources of knowledge contributing to publications may attract larger group of audience, and thus may result in higher citation impact. Nevertheless, such citation benefit differs within the two countries: significant correlation exists between interdisciplinarity and citation impact of the US papers, but it was not the case in China. According to the findings above, this research provides the evidence that, in big data research, USA authors tend to refer more literature from more disciplines which fall within both basic and applied fields. In contrast, the Chinese researchers prefer to absorb knowledge form basic disciplines, typically as Computer Science, which contain core technologies and algorithms, and play a decisive role in promoting the progress of big data technology. To some extent, this situation can be interpreted by the gap in the development level of big data as well as the dissimilar strategic targets of the two countries. To sum up, the results evidently specify that China and USA have a lead on big data research in the world as reported by the proliferating publications and expansion of disciplines covered, noticeably indicating the clear signals of the growing interest and focus of both countries. Despite of the faster growth rate of Chinese publications, the USA performs better in interdisciplinary research measured by Rao-Stirling index and obtained more citations. It is for this reason that we suggest that, apart from focusing on the development of technologies, Chinese researchers should be encouraged to break down disciplinary barriers and explore more collaboration opportunities with scholars from other fields, especially those from non-representative disciplines, in order to combine more knowledge sources and improve the breadth and depth of big data research.With regard to limitations of the current research, we would like to mention the following: First, only document types of journal article and review indexed in WoS are used, the results of the current study do not represent the situation when conference proceedings and patent data are included. Coming to the interdisciplinarity indicator Rao-Stirling index, although it combines three dimensions, it is too general and is hard to distinguish and compare among different dimensions. Furthermore, the indicator is based on subject categories of journals, whereas such field classification itself is problematic because a journal may involve more than one fields, thus is difficult to classify multidisciplinary journals. Further study for a better measurement of interdisciplinarity is necessary.
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    A foreign literature review on the mechanism of intelligence operating in technological innovation
    Zhou Peng
    2019, 40(4): 14-23. 
    Abstract ( 294 )  
    Intelligence plays an important role in technological innovation, which has been the consensus of academia. But how does intelligence play a role in technological innovation? Or what is the operating mechanism of intelligence in technological innovation? There is no systematic research to answer these questions in China, while foreign scholars have carried out corresponding researches in this field and achieved a lot of results. Therefore, this paper aims to summarize its achievements and shortcomings, and provide reference for further research. In the first place, the literature research is carried out. Through literature search and "snowball" literature search methods, relevant papers were obtained, and these papers were read, the main points of view, research methods and research conclusions of a single paper were refined, and the relationship between the papers was further classified and sorted out. The main findings include as follows: Firstly, there is a positive correlation between intelligence processing and technological innovation performance. The function of intelligence processing is to reduce the uncertainty in the process of technological innovation, that is, to reduce the technological risk and market risk, and to provide support for decision-making at all stages of technological innovation. Intelligence processing has different performance in different stages of technological innovation, and is restricted by some influencing factors.Secondly, intelligence processing in technological innovation includes three links: intelligence acquisition, diffusion and use. These links also have different emphases and manifestations in different stages of technological innovation. Intelligence acquisition includes formal acquisition and informal acquisition. Formal acquisition includes environmental scanning and market orientation. Foreign scholars generally hold positive views on the role of environmental scanning in technological innovation. There are two different views on the role of market orientation in technological innovation. One is that market orientation will lead to generalization of new products,and the other is that market orientation is a necessary condition for the success of new products. Informal acquisition refers to the acquisition of intelligence through "gatekeepers" in technological innovation. Informal acquisition is more important for technological innovation. Intelligence diffusion includes interaction and cooperation. Interaction refers to formal and structured intelligence diffusion between departments, such as routine meetings, document transmission, etc. Cooperation refers to informal, unstructured and emotional intelligence diffusion between departments. Collaboration is more important for technological innovation. Intelligence diffusion also has a strength problem, that is, the frequency of intelligence exchange between participants. Some scholars believe that low frequency can bring about autonomous and free action and reduce social pressure, which is conducive to innovation. Others believe that high frequency can ensure the accuracy and reliability of intelligence, which is conducive to innovation. The use of intelligence refers to the effectiveness of intelligence to innovative decision makers. Technological innovation mainly uses eight kinds of intelligence, including strategic intelligence, financial intelligence, project management intelligence, competitor intelligence, regulatory intelligence, customer intelligence, demand intelligence and technical intelligence. The quality of intelligence plays an important role in the use of intelligence. Thirdly, in technological innovation, intelligence is a kind of resource while intelligence processing is an activity or ability. They should be both related and different. Enterprises should possess both of them. Lack of intelligence resources or ability to deal with intelligence has a negative impact on technological innovation. In the next place, literature criticism is carried out to find out the gap between existing research and research questions. The shortcomings of existing research include as follows: First, exploratory and descriptive research is the majority, while interpretative research is less. Existing research mainly adopts exploratory and descriptive research, which clarifies the relationship between technological innovation and intelligence processing, and how intelligence processing is carried out. But on the other hand, there are few explanatory studies to answer "why". Although some studies involve the above questions, but they do not fully reveal the causal relationship.Second, the empirical results lack a systematic theoretical framework. The results of empirical research need to be explained theoretically in order to improve people's understanding. Existing empirical results lack such a systematic theoretical framework. Although some scholars have made some attempts to explain the results, such as open system model, situational theory, resource theory and dynamic capability theory, a unified and convincing theory has not yet been formed.Thirdly, the measurement schemes of key variables are quite different. The key variables mentioned here mainly include technological innovation performance, new product development performance, intelligence and information. Although the existing research uses the same term, the understanding of its connotation and extension is inconsistent, which leads to great differences in measurement schemes. This situation is most evident in the two concepts of intelligence and information. The existing research in this field hardly defines intelligence and information accurately, nor makes a strict distinction between them. They are basically used at the same time or alternately, which is also mixed with concepts such as data and knowledge. Correspondingly, the measurement of the two is not the same.Fourthly, there is a lack of qualitative research. Most of the existing research belongs to quantitative research, and qualitative research is relatively rare. In the few qualitative researches, interview and case methods are mainly used. Some quantitative research methods such as ethnography and grounded theory have not been used yet. Finally, some suggestions for future research are put forward, including strengthening the explanatory research, finding a more explanatory theoretical framework, integrating the measurement scheme of key variables and introducing qualitative research.
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    Buyer power and technology innovation:A research review and future prospects
    Li Kai, Guo Xiaoling
    2019, 40(4): 24-33. 
    Abstract ( 328 )  
    Technological innovation is the first driving force to lead the development of enterprises, and it is also the main factor for enterprises to gain core technological advantages. The innovation decision-making of enterprises is not only affected by the horizontal market structure, but also by the relative market forces from the upstream and downstream of the industry chain. With the continuous evolution of the vertical relationship of the industrial chain, the one-stop shopping malls, the franchise model, and the large-scale specialized retail chain enterprises have appeared in large numbers, which has promoted the horizontal competition among enterprises in the industry to extend to the vertical distribution relationship in the upstream and downstream of the industrial chain. The market position of downstream retail organization has undergone a revolutionary transformation, and the economic effects generated by the buyer’s power have become an emerging field of research in recent years. As a complex dynamic process, innovation not only involves the innovation ability of the enterprises themselves, but also highly depends on external relationships. The buyer from the downstream of the industrial chain is a vital stakeholder of the company, and its bargaining power has an important influence on the strategic decision of the enterprise. Retailers in a dominant position often influence the interests of suppliers in various ways. Common economic regulation methods can be roughly divided into two categories: one is price regulation, such as non-linear pricing, slotting fees, discount points, deferred payments, resale price maintenance; the other is rights regulation, such as the signing of exclusive contracts(including exclusive areas and exclusive transactions), bundling sales and so on. Large retailers have changed the vertical equilibrium relationship of the original industrial chain with the increase of buyer power, and triggered a series of conflicts between retailers and suppliers. The problems caused by the contradiction between retailers and suppliers have become the focus of attention of social and the anti-monopoly department.This paper sorts out and summarizes the conceptual and connotation of buyer power from four research perspectives of purchasing intermediate goods price, transaction negotiation ability, long-term opportunity cost and external selection value. At the same time, this paper analyzes its generating motivation and formation mechanism from three dimensions, namely the change of market structure, the choice of external value and the degree of vertical dependence. On this basis, this paper summarizes and reviews the research on the relationship between buyer power and technological innovation from both theoretical and empirical perspectives. The existing theoretical researches can be subdivided into two categories. The first kind of theoretical research mainly discusses the influence of buyer power on process innovation of upstream manufacturers. The second kind of theoretical research is mainly based on the horizontal differentiation model to explore the influence of buyer power on product innovation of upstream manufacturers. The existing empirical researches on the relationship between buyer power and technological innovation mainly focus on traditional industries with strong industry chain correlations, such as retail industry, pharmaceutical industry, steel industry, automobile manufacturing and so on, while the research based on micro-enterprise data is relatively less. From the empirical research results, the relationship between the two is uncertain, and the existing research conclusions can be summed up into tree types: promotion relationship, inhibition relationship or non-linear relationship. Different types of research results are mainly due to the difference of data selection and the different measurement methods of core variables.Finally, based on the limitations of existing research, the future research directions are proposed, which can provide reference for the establishment of enterprise innovation mechanism and the implementation of anti-monopoly regulation policy.Firstly, in the future research, factors such as R&D decision-making, service decision-making, and information sharing decision-making should be taken into account to further analyze the influence of buyer power on the technological innovation effect of upstream suppliers.Secondly, as a network-based organizational structure, the market forces between the horizontal and vertical dimensions have interaction and mutual influence. The enhancement of the horizontal market power of downstream enterprises will expand their vertical control ability, and then affect the profit distribution of the industrial chain and the innovation decision-making of the upstream enterprises. Therefore, market power in the horizontal dimension is a prerequisite for the formation of vertical market power. However, the existing relevant researches often separate the two. Therefore, in the future research, the interaction between the horizontal and vertical market forces on upstream technological innovation should be taken into account.Thirdly, in the future research, more attention should be paid to emerging industries with strong vertical correlations in the industry chain and close links between upstream and downstream technologies, such as emerging industries relying on Internet development.Fourthly, with the continuous strengthening of the technological innovation diffusion caused by the industrialinnovation strategic alliance, in order to achieve mutual benefit and win-win goal while sharing the cost of R&D and obtaining complementary resources, some retailers and suppliers have transformed the situation of competing from upstream to downstream into the situation of supply chain coordination, and established a vertical supply chain cooperation system centered on downstream retailers. Therefore, more attention should be paid to the impact of vertical technology spillover effects brought by buyer power and technological innovation in the future research, including vertical cooperative innovation forms such as R&D alliance characterized by benefit sharing.The theoretical significance of this paper mainly includes three aspects. Firstly, this paper reviews relevant literatures at home and abroad, and defines the connotation and characteristics of each concept, and builds a more comprehensive concept system to provide a clear overview for subsequent research. Secondly,it also deconstructs the motivation mechanism generated by the buyer’s power from different dimensions, refines its influencing factors and mechanism of action. Thirdly, from the perspective of different innovation modes, this paper systematically summarizes and organizes the representative theoretical and empirical research literatures in this field, which not only clarifies the main line of the existing research system, but also makes up for the gap of literature research in this field.From the practical point of view, the research in this paper can provide systematic guidance for the formulation of innovation strategies and the implementation of anti-monopoly regulation polices for upstream and downstream enterprises in the industrial chain.
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    A research on the supply-side innovation efficiency of China's strategic emerging industries
    2019, 40(4): 34-43. 
    Abstract ( 340 )  
    Strategic emerging industries are the key areas for China to cultivate and develop new momentum and gain new competitive advantages in the future under new normal. They are also important breakthroughs for China to implement innovation-driven strategy and promote supply-side reform. In the process of supply-side reform and innovation of China's strategic emerging industries, the key is the integration of supply-side innovation factor resources, and the core goal is to improve innovation efficiency. Therefore, how to scientifically evaluate the innovation efficiency of strategic emerging industries is highly concerned by academics and government departments. Especially in the context of China's supply-side reform, what is the supply-side innovation efficiency and changing trend of China's strategic emerging industries? Does the innovation input bring about the corresponding output? How to further improve innovation inputs and outputs? The answers to the above questions are of great theoretical value and practical significance for insisting on the problem-oriented in the new era, improving the quality and efficiency of China's strategic emerging industries supply-side innovation, and promoting high-quality economic development.Based on the data of 296 listed companies of strategic emerging industries in China's Shanghai and Shenzhen A-shares from 2013 to 2015, this paper selects government subsidies, the number of full-time R&D personnel, the intensity of R&D investment, the number of patents available in the current year, the number of patents applied in the current year as indicators of innovation input, and selects market demand growth rate, the number of patents granted in the current year, accounting performance, and market performance as indicators of innovation output. This paper evaluates and analyzes the supply-side innovation efficiency of China's strategic emerging industries using BCC model and super-efficiency model of the DEA method. And this paper makes the input-output improvement analysis of the supply-side innovation efficiency of China's strategic emerging industries using the regression model.The results show that: (1)The average of supply-side innovation total efficiency of China's strategic emerging industries is 0.638 in the sample period, and its overall level is not high but it shows an increasing trend. The average of pure technical efficiency of China's strategic emerging industries is 0.665 in the sample period, and its overall level is lower but trend of slow growth is maintained. The average of the scale efficiency of China's strategic emerging industries is 0.961 in the sample period, and its overall level is higher and its fluctuation range is smaller. It can be seen that the total efficiency of supply-side innovation in China's strategic emerging industries is mainly constrained by the low pure technical efficiency; (2) According to industry classification, in terms of the total efficiency and pure technical efficiency on the China's strategic emerging industries supply-side innovation, the new generations of information technology, new materials, new energy, energy conservation and environmental protection, and digital creativity are on the rise, the bioindustry and new-energy automotive industry are inverted V-shaped structures, the high-end equipment manufacturing industry is V-shaped. Scale efficiency of each industry is relatively high, but the supply-side innovation total efficiency among different industries is quite different; (3) The government subsidies and the number of full-time R&D personnel have a higher input redundancy rate. The number of patents granted in the current year and market demand growth rate has a higher output deficiency rate. Government subsidies are significantly positively correlated with market demand growth rate, the number of patents granted in the current year, and accounting performance. The number of full-time R&D personnel is significantly positively correlated with each of the innovation output indicators. The intensity of R&D investment is significantly positively correlated with market demand growth rate and the number of patents granted in the current year, but it is significantly negatively correlated with accounting performance and market performance. The number of patents applied in the current year is significantly negatively correlated with market demand growth rate, accounting performance and market performance. In general, government subsidies, the intensity of R&D investment and the number of full-time R&D personnel have a significant positive impact on the supply-side innovation output of China's strategic emerging industries.According to the above analysis, the policy implications of this paper are as follows: (1) China's strategic emerging industries should focus on the improvement of pure technology efficiency and supply-side innovation total efficiency, and review improving total factor productivity as the core, strengthen enterprise innovation investment guarantee mechanism, establish enterprise R&D risk compensation mechanism, improve inter-enterprise cooperation and innovation mechanism, build industrial innovation system, enhance innovation capability, and achieve high-quality development of China's strategic emerging industries; (2) Implement separate support policies, and make special support policies formulate for different strategic emerging industries to improve their innovation efficiency by classification optimization; (3) The government should strengthen the innovation management of government subsidies, moderately control the amount of subsidies and introduce a benigncompetition mechanism. Enterprises should improve the using quality and efficiency of government subsidies, strengthen incentives and management of R&D personnel, and enhance innovation efficiency. (4) Improve China's strategic emerging industries innovation policies, increase government subsidies and policy support, allocate innovation resources reviewing enterprise as a core, highlight the main position of enterprise technology innovation, guide and encourage enterprises to increase R&D funds and personnel input, strengthen supply-side innovation management, and improve the quality and efficiency of China's strategic emerging industries supply-side innovation.
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    A research on the driving effect of “popular entrepreneurship and innovation”on economic development
    Zheng Xiumei, Wang Haiyan
    2019, 40(4): 44-53. 
    Abstract ( 311 )  
     Popular Entrepreneurship and Innovation is an important measure taken to realize the Innovation-Driven Development Strategy in the context of the New Normal in China. In 2015, the Government Work Report put forward that entrepreneurship and innovation is a new engine for economic development. Since then, "popular entrepreneurship and innovation" has been supported by nearly 300 documents issued by the State Council and Ministries. In 2017, the number of registered enterprises reached 16,600 on a daily basis. Nevertheless, how the effect of “popular entrepreneurship and innovation” on economic development is evaluated? How is the driven effect by now? There is still lack of theoretical and empirical research. Combined with the development characteristics of "popular entrepreneurship and innovation" in China, the research revised Porter’s Diamond Model which holds that opportunity and government are no longer additional elements, but the important environmental factors that affect the other four create a good environment for the generation and development of other elements, and at the same time government policy has an impact on opportunity.On this basis, anElement Model of Popular Entrepreneurship and Innovation–Driven Economic Development is established, which can be divided into three parts: the element layer, the coordination layer and the environment layer. The element layer is composed of the basic elements supporting innovation and entrepreneurship. The coordination layer contains the communication and interaction of the basic elements around the goal of innovation and entrepreneurship. The environment layer is the collection of all the macroscopic factors that influence the formation of factors and the interaction among factors. Therefore, the Element Model of Popular Entrepreneurship and Innovation–Driven Economic Development is an elements set which takes innovation and entrepreneurship resources as core, pays attention to the elements and synergies of promoting popular entrepreneurship and innovation, and gathers the influence of policy and opportunity on innovation and entrepreneurship.An evaluation index system for the effect of popular entrepreneurship and innovation on economic development is designed based on the Element Model of Popular Entrepreneurship and Innovation–Driven Economic Development, including 3 first-level indicators of elements, collaboration and environment, and 10 second-level indicators (4 belong to element layer, 4 belong to collaboration layer, and 2 belong to environment layer) and 43 third-level indicators (18 belong to element layer, 9 belong to collaboration layer, and 14 belong to environment layer). It carried out an empirical analysis based on the survey data of 324 enterprises from various industries, like internet, machinery manufacturing, clean technology, semiconductor, information technology, finance. The questionnaire is designed to evaluate relevant indicators from the perspective of perception with enterprises as the main body. Delphi method was used to determine the weight. The experts included scholars, managerial personnel, governmental personnel, management consultants, etc. According to the Likert 5-point scale, the higher the score is, the better the support for innovation and entrepreneurship will be; otherwise, the weaker the support. Data show that, in general, the popular entrepreneurship and innovation has a better effect on economic development, and the score is 78 (100 point system). Among them, environmental factors score the highest (80 points), collaboration factors second (79 points), and key factors score relatively less (73 points). For the specific scores, except production factor (71 points) and enterprise factor (69 points), the scores of other factors are basically the same and at a high level (75 points or more). Among them, the opportunity score the highest (83 points), which indicates that the science and technology, market demand and social atmosphere encouraging innovation and entrepreneurship provide more innovation and entrepreneurship motivation and opportunities for the sample enterprises.The study reachedthe following conclusions: (1) the driven effect is realized through three parts: element layer, coordination layer and environment layer. The three parts focus on element composition, interaction and environmental impact from micro, medium and macro perspectives respectively; (2) the driven effect depends on the availability of "popular entrepreneurship and innovation" elements, the synergy between elements and the impact of policies and opportunity environment. The weight coefficients of the three are 0.3, 0.5 and 0.2 respectively; and (3) "popular entrepreneurship and innovation" has a significant driving effect on economic development, with complete elements and sufficient interaction in a comfortable environment. The study also found that, in order to promote the effect of "popular entrepreneurship and innovation" oneconomic development, the supply of professional human resources, the demand for financial capital of corporate, the quality of projects and the policy environment need to be further optimized. They are reflected in: (1) lack of innovation and entrepreneurship talents is the source of innovation and entrepreneurship problems, and the cultivation of professional innovation and entrepreneurship talents should become the focus of current innovation and entrepreneurship education. The cooperation among the government, enterprises and universities should be strengthened to maximize the synergistic promotion of the three parties in the process of talent cultivation, so as to provide the best growth environment for them; (2) the financial capital could not meet the needs of enterprises. In order to alleviate the capital pressure further, the investment of social capital should be actively guided, and a market-oriented diversified financing system should be built; (3) the proportion of technological innovation entrepreneurship is relatively small. The promotion effect of innovation and entrepreneurship on economy mainly depends on innovation, that is, the quality of innovation and entrepreneurship is the key to whether "popular entrepreneurship and innovation" can promote economic development, rather than the quantity. Therefore, in order to promote "popular entrepreneurship and innovation" to become a new engine of economic development after the formation of the whole society's innovation and entrepreneurship atmosphere, it should focus on supporting and encouraging the development of innovative entrepreneurship; and (4) although the specific policies on intellectual property protection, industry-university-research cooperation and finance innovation have been continuously improved, they are still limitation for enterprises in those parts. Therefore, the construction of policy environment should focus on specific problems and difficulties to further optimize the policy environment for innovation and entrepreneurship.
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    High-tech identification policy, R&D manipulation and firm technological innovation efficiency
    Wan Yuanxing, Xu Yongbin
    2019, 40(4): 54-62. 
    Abstract ( 346 )  
     In order to encourage the development of high-tech industries, the high-tech identification policy was firstly promulgated in 2008 and revised in 2016, and it gives policy benefits to the enterprises that satisfy the judicial recognition. However, some enterprises manipulate the collection scope of R&D expenses to obtain the policy benefits, resulting in loss of national fiscal and tax resources and the benefits of real high-tech enterprises. Therefore, the research of R&D manipulation is helpful to improve the high-tech identification policy, and has an important practical significance for the development of high-tech industries.However, previous studies of innovation policy had explained mainly from the perspective of policy tools such as the public subsidy and tax incentive, but rarely focused on the high-tech identification policy that has different research conclusions. For instance, Sun et al. (2016) believed that the title of high-tech enterprise can obtain policy benefits such as fiscal support and financing convenience, which stimulate enterprise to engage in technological innovation activities. Xu (2017) proved this stimulation by using the data of A-share listed private high-tech companies. However, Yang et al. (2017) found that high-tech identification policy has a stimulation distortion effect, which induces enterprises to reach the R&D threshold by R&D manipulating, resulting in the decline of R&D performance. Therefore, the effect of high-tech identification policy needs to be tested. Furthermore, there still have two points that need to be studied further. Firstly, it is the study on different stages of high-tech identification policy. Enterprises need to participate in review-trail before the expiration of high-tech enterprise certification. According to the statistics given in this paper, the total enterprise technological innovation efficiency is increased by 16% after the first-trail of high-tech identification, but no significant changes occurred after the review-trail of high-tech identification. However, previous studies only regard passing the first-trail of high-tech identification as a condition, ignoring the difference of policy effect in different identification stages. Secondly, it is the study on tax avoidance motivation of R&D manipulation. Previous studies proved that enterprises manipulated R&D expenses in order to reach the R&D threshold. However, according to enterprise tax law, it can be additional deducted whenever R&D investment is capitalized or expensed, which means that the enterprises that have already reached the R&D threshold also have a possibility to manipulate R&D expenses for decreasing the tax burden. Firstly, this papertheoretically divided R&D manipulation into two types by the motivation of manipulation. One type is called target achieved R&D manipulation. Enterprises with target achieved motivation manipulate R&D expenses, so that they can obtain the policy benefits from the title of high-tech enterprise. These Enterprises actually did not reach R&D threshold, or even not engaged in R&D activities. Based on the tradeoff between policy benefits and violation costs, such enterprises control their R&D expenses around R&D threshold. The other type is called Tax avoided R&D manipulation. The enterprises with tax avoided motivation were reached R&D threshold, manipulating R&D expenses to decrease the tax burden. These enterprises regard R&D expenses as a tax avoidance approach, even though they can obtain generous policy benefits. Especially in the fierce market competition, enterprises are more incentive to keep profits by decreasing the tax burden. Therefore, such enterprises report that the R&D investment is much higher than actual situation, and the degree of manipulation is more than the target achieved type. Then the paper proposes four hypotheses: H1a, there is a positive effect of high-tech identification policy on enterprise technological innovation efficiency; H1b, there is a negative effect of high-tech identification policy on enterprise technological innovation efficiency; H2, R&D manipulation has a negative moderating effect on the relation between high-tech identification policy and enterprise technological innovation efficiency; H3, target achieved R&D manipulation is more significant on the firms which are outside the high-tech development zone or have a higher sale, whereas tax avoided R&D manipulation is more significant on the firms which are inside the high-tech development zone or have a lower sale. Finally the study applies the empirical research paradigm based on the innovation data of Chinese high-tech listed enterprises from 2008-2017. The empirical results are as follow: (1) High-tech identification policy is an important factor for enterprise technological innovation efficiency. Firm can obtain more innovation resources and better market signals after passing the high-tech identification, which can improve enterprise technological innovation efficiency; (2) Target achieved R&D manipulations and tax avoided R&D manipulations are not conducive to the stimulation of high-tech identification policy. Both R&D manipulations increase R&D expenses by including the expenses that not belong to R&D activities into the R&D expense column, or purchasing the equipment that is not in operation, which reduce the allocation efficiency of enterprise innovation resources. Meanwhile, executives use the regulatory vacuum and information advantages of R&D manipulation to realize their personal benefits, resulting in short-sighted decision-making; and (3) Target achieved R&D manipulation is clustered in the first-trail of high-tech identification, and it’s more significant on the firms which are outside the high-tech development zone or have a higher sale. Tax avoided R&D manipulation is clustered in the review-trail of high-tech identification, and it’s more significant on the firms which are inside the high-tech development zone or have a lower sale. The intention of high-tech identification policy is to encourage high-tech industries, but this paper finds that high-tech identification policy has a stimulation distortion effect, inducing enterprises to manipulate R&D expenses. Policy maker should adjust high-tech identification policy from the perspectives of violation cost, audit process and R&D threshold, so as to explore more effective policy.
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    A research on implementation and performance of the provincial-level five-year development plan by taking the 12th Five-Year Plan as an example
    Chen Sheng, Li Zhaoyang, Wang Yingjie
    2019, 40(4): 63-73. 
    Abstract ( 226 )  
    Since 1953, China has compiled and implemented 13 Five-Year Plans which have been regarded as the entrance to crack the mystery of China's rapid economic development. Provincial Five-Year Plan depicts the province's development prospects and blueprints, and clarifies the focus of government work in next five years. While it costs a lot of time and manpower to compile a Five-Year Plan. Taking the 13th Five-Year Plan as an example, it took a year and a half to compile the plan text from the early research in June 2014 to the formal adoption in January 2016. However, study on the performance of Five-Year Plan implementation, especially the study on provincial Five-Year Plan, is insufficient. If the Five-Year Plan is limited to "drawing on paper, hanging on the wall", ignoring its implementation and effect, it is not only a great waste of public resources, but also irresponsible for the future development of the region. This paper concludes that in the process of implementation, the factors affecting planning performance mainly include the execution subjects, implementation resources, organizational characteristics and the scientific level of planning. For the performance of the five-year plan, this paper argues that it mainly includes two aspects: the degree of completion and the effect of completion. The degree of completion is measured by the actual implementation situation of the plan objectives and tasks. The effect of completion refers to the benefits to the department after the implementation of the five-year plan. The ability, enthusiasm and recognition of the execution subjects determine whether the Five-Year Plan can be implemented in time. And the subject of policy implementation influences the performance of Five-Year Plan by acquiring and making full use of various resources. It can be seen that planning implementation resources are a powerful force to implement the performance for the execution subjects. Flexible and fair organizational characteristics can enhance communication, reduce friction and promote performance implementation. In addition, clear objectives and clarity of text expression are conducive to the implementation of Five-Year Plan.So,we assume in this paper that the execution subjects has a significant positive impact on planning performance;the implementation resources play an intermediary role in the relationship between the execution subjects and planning performance;the organizational characteristics play a moderating role in the relationship between execution subjects and planning performance;and the scientific level of plan plays a moderating role in the relationship between execution subjects and planning performance.In order to conduct empirical research to explore the impact of provincial five-year plan implementation on the final performance of the five-year plan, a mixed model of intervening variable and mediated variables is constructed. Taking the 12th Five-Year Plan of Chongqing as an example, this study selected 31 municipal departments that compiled and implemented the outline of the five-year plan and the special plan at the municipal level in Chongqing for investigation. Sampling design involves at least three employees in each department, and at least one planning supervisor participates in filling out questionnaires and receiving interviews. A total of 120 questionnaires were distributed and 99 were recovered, with a recovery rate of 82.5%.In order to measure the performance of Five-Year Plan implementation, this paper uses SPSS19.0 to make descriptive statistical analysis of the two dimensions of planning performance variables (the degree of completion and the effect of completion). The proportion of the positive and negative directions of the answers selected by the participants is used as the measurement index of Five-Year Plan performance. According to the statistical results, the degree of completion is preferably, with over 75% of the respondents in “agreed or fully agreed”. While only 69.7% of the respondents “agreed or fully agreed” the implementation of the plan has promoted the performance of the departments. That is to say the output of Chongqing's 12th Five-Year Plan is better than the production efficiency, that is, the specific planning objectives and tasks are more recognized than the abstract external benefits to the planning department. That is to say, the completion of Chongqing's 12th Five-Year Plan’s objectives and tasks are more recognized than the abstract external benefits to the department. This paper uses SPSS19.0 to test the mixed model of variables Y, X, M, W and U, which are planning performance (Y), execution subjects (X), implementation resources (M), organizational characteristics (W), and scientific level of planning (U). Based on the testing results of mixed model, the execution subjects (X) has a significant positive impact on planning performance (Y). Planning implementation resources (M) have a significant intermediary effect on the execution subjects (X)-planning performance (Y). And it is a partial mediating effect. The proportion of the mediating effect in the total effect is 38.4%. This not only verifies the view that implementing resources are the important condition of implementing performance, but also further explores the relationship among execution subjects, resources and performance by means of intermediary effect analysis. However, in this study, the organizational characteristics (W) and scientific level of planning (U) have no significant moderating effect on the execution subjects (X)-planning performance (Y). The reason why the moderating effect of organizational characteristics is not significant may be that 13 five-year plans have been compiled and implemented in China, which means that a relatively solid operation mode has formed within the government. So, in turns, there is no significant difference in the characteristics between planning organizations. However the specific reasons need to be further studied.Based on the research conclusion, this paper suggests that in order to improve the performance of planning implementation, the primary task is to improve the quality of the execution subjects and ensure the effectiveness of planning preparation and implementation. The study also finds that planning and implementation resources have a significant impact on performance. However, no matter at Chongqing or the national level, the utilization of resources lacks institutional guarantee. Therefore, in order to effectively improve performance, it is necessary to establish a corresponding guarantee system.
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    A research on the influence mechanism of innovation flexibility on intelligent transformation of manufacturing enterprises#br#
    Meng Fansheng, Zhao Gang
    2019, 40(4): 74-82. 
    Abstract ( 324 )  
    At present, China is at the intersection of energy revolution and equipment manufacturing towards intelligent manufacturing. The energy revolution requires increasing the proportion of new energy in the energy structure to promote low-carbon energy structure. But the intelligent manufacturing transition of equipment manufacturing requires the manufacturer of equipment to adapt to the Development and Change of Environment and to improve enterprise ability and management level. New energy equipment, in front of equipment manufacturing development in China, its intelligent manufacturing level in future will directly affect the development and utilization prospects of new energy in China, and then affect the low-carbon process of China’s energy structure.The existing literature shows that the factors affecting the development of intelligent manufacturing include both external environment and internal capability. However, most of the previous research results are based on individual factors and lack of systematic and quantitative research. The mechanism of influencing factors on the development of intelligent manufacturing needs further study.This paper puts forward hypotheses of relevance among the external environment, enterprise capability, management level and intelligent manufacturing, as well as relevance between the external environment and enterprise capability. External environment has a direct positive impact on intelligent manufacturing. Enterprise capability variables which are measured by innovation, integration, interconnection and other secondary variables, has a direct positive impact on intelligent manufacturing of new energy equipment. External environment promotes intelligent manufacturing of new energy equipment through the direct positive impact on enterprise innovation capability, integration capability and interconnection capability, and then on enterprise capability. Management level and enterprise capability promote each other and have a positive impact on enterprise capability in the process of promoting the development of new energy equipment intelligent manufacturing. Management level has a direct and positive impact on enterprise capability, and then affects intelligent manufacturing.A small range of questionnaires were issued for predictive testing before the formal issuance of large sample questionnaires. The reliability and validity of variables were preliminarily tested. The subjects of the questionnaire were asked by 5 point likert scale. In the pre-test stage, questionnaires are sent out by mail and e-mail. In the empirical stage, questionnaires are sent out to leaders of new energy equipment manufacturing enterprises and scholars in the field of new energy equipment intelligent manufacturing. The validity rate of the questionnaire reached the general standard. The items in the scale of measurement cited the scale with good reliability and validity and high recognition from the relevant literature. In this paper, the cronbachs alpha coefficient method is used to test the reliability of the measurement scale. Confirmatory factor analysis is used to test the validity of the survey data, and to judge the fitness of the model.The detection result show that the internal consistency and reliability of all relevant variables such as external environment, enterprise capability, management level and intelligent manufacturing are high enough, and the structural model of variables are satisfactorily. On the basis of confirmatory factor analysis, the maximum likelihood method (ML) is used to validate the model and related hypothesis of the influencing factors of new energy equipment intelligent manufacturing. In the process of empirical research, some correlations of items in the model are added in pursuit of making the model pass the test. The empirical results based on structural equation model show that the factors affecting the development of new energy equipment intelligent manufacturing mainly include external environment, enterprise capacity and management level1. The external environment and management level indirectly drive the development of intelligent manufacturing with enterprise capability as the intermediate variable. Meanwhile, the external environment has a direct impact on the development of intelligent manufacturing. Policy orientation puts forward the overall requirements for the development of enterprise capability. The upstream and downstream industrial partnership promotes the communication between upstream and downstream enterprises in the process of intelligent manufacturing of new energy equipment, and it has a direct impact on the enterprise capability. Industry competition forces enterprises to seek comparative advantages and makes the differences comparing with other enterprises. 2. The external environment has a negative effect on the development of new energy equipment intelligent manufacturing. Unfair competition has come into being because some enterprises occupy a monopoly position by non-market-oriented means, even obtain profits by illegal infringement. Instead, some innovative enterprises are constrained by unfair industry competition which makes it difficult to get their due innovative income. The risk of intelligent development of new energy equipment and uncertain cycle factors make appearance of effect lag. Therefore, the endogenous motivation of intelligent manufacturing development of new energy equipment is suppressed. And the new energy equipment manufacturers have no time to take care of the development of intelligent manufacturing. 3. Enterprise capability can promote the development of intelligent manufacturing. New energy equipment manufacturing enterprises improve their technological innovation ability and strengthen core technology research and development, which plays an important role in promoting enterprises to take the path of innovation-driven development and to achieve intelligent manufacturing. Digital integration can be used to design, analyze and optimize every link of production process, operation steps, production units, production lines and even the whole factory. It is the only way which must be passed for new energy equipment manufacturing enterprises to realize intelligent manufacturing. New energy equipment manufacturing enterprises need to make information transfer independently in industry chain through upstream and downstream supply chain interconnection, information interconnection between supply and demand, interconnection between internal products and equipment, between people and equipment, in order to promote the transformation of enterprises from traditional manufacturing mode to intelligent manufacturing. 4. The management level promotes the development of intelligent manufacturing by improving the ability of enterprises. From the point of view of the actual operation of the enterprise, the management level which is the "soft power" of the enterprise, mainly plays a supporting and service role. But it is difficult to have a direct impact on the improvement of the enterprise capacity. The management level is largely interacted with the external environment to promote the intelligent development of new energy equipment manufacturing enterprises. Speaking specifically, information management can quickly collect information about external environment changes for decision-makers. Organizational management can change organizational structure according to upstream and downstream industrial cooperation or industry competition in pursuit of meeting the development needs of new energy equipment manufacturing enterprises. Process management can ensure that new energy equipment manufacturing enterprises keep communication smooth, which can avoid production problems caused by inappropriate coordination, in the process of cooperation with upstream and downstream enterprises.
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    Governance model of innovation resources curse based on the QCA method
    Guo Yuanyuan, He Yining, Deng Xiaohui
    2019, 40(4): 83-91. 
    Abstract ( 249 )  
     Innovation resources are the material basis for carrying out R&D activities and obtaining innovation output. However, researchers have found that in some contextualization, abundant innovation resources lead to the decline of innovation performance and the phenomenon of “resource curse”. And appropriate governance environment can alleviate the curse which brought by innovation resources. Therefore, the governance environment variables are brought into the research field, so as to further clarify the ways of Governance and approaches to cope with the innovation resource curse though exploring the interaction mechanism between the governance environment, innovation resources and innovation performance.Through collecting data of innovation resources and governance environment in 31 province, innovation resources include R&D personnel (PI), R&D funds (FI) and external technology introduction (IET), and governance environment includes market-oriented process (MAR), government intervention (GI) and legal environment (LE). With qualitative comparative analysis (QCA) method, develop its advantage on the research of asymmetric relations and the lower limit of sample size. Analyzes the utility of innovation resources and governance environment combination on innovation output, explores the antecedent conditions of innovation output input caused by innovation resource input in different government governance environments, and finally obtains five antecedent conditional configurations. By combination of configurations, find that combinations with higher utility output efficiency can be divided into three types include systematic legal support (including research and development personnel and the rule of law environment as core existence condition), competitive market driven model (including research and development personnel, research and development funds input and the marketization process as core existence condition) and the type of drive mode (including the marketization process and the degree of government as core existence condition, the rule of law and the external environment as core non-existence condition).The results show that in the governance environment, government intervention is an important condition for obtaining innovative output. Based on the development status of China's innovation activities, innovative enterprises need the government's macro-control of innovation activities, and guide the input of personnel and funds through government policies. Achieve the purpose of supporting innovation activities. The degree of marketization plays a key role in overcoming the curse of innovation resources. In an environment with a high degree of marketization, both personnel input and capital investment can improve the efficiency of resource allocation and increase innovation output by freely flowing in the market. Legal system construction can create a good environment for innovation, but it needs to take into account the development status of regional innovation. The strict legal environment is suitable for innovation leading areas, while the backward areas can gradually improve the legal system in a gradual way, so that innovation ability and governance environment can becoordinated. The introduction of external technology is likely to cause a decline in the ability of enterprises to innovate. Among the three innovative resources, researcher input and research funding are important foundations for innovation activities, and the introduction of external technology is likely to lead to crowding out effects and external dependence, resulting in a decline in corporate innovation capabilities. The results of research provide an effective reference for the further optimization of the allocation of innovative resources and improving the level of innovation governance.
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    A research on the open innovation under the frame of business group
    Xu Peng, Dong Meitong, Bai Guiyu
    2019, 40(4): 92-102. 
    Abstract ( 400 )  
    Open innovation has become a hot topic in both theoretical and practical circles, but few studies have explored the influence factors and effects of open innovation in the group framework from the perspective of internal and external networks. Business group plays a significant role in China, which is a consortium of interests of semiautonomous firms bound through multiplex ownership and social ties. Different from the standalones, the subsidiary has the characteristics of dual network, which means that it is not only able to cooperate with external stakeholders for innovation, but also rely on the group network for innovation practice. There is little research on how subsidiaries in business groups use their unique intranet advantages for open innovation. In this paper, from the perspective of network, we construct the theoretical model of internal and external network and open innovation, and discuss the influence of different types of open innovation and its interaction on innovation performance. Our research advances the existing literature in primary two ways. Firstly, we contribute to the literature about introverted and extroverted open innovation. Apart from the influence mechanism of introverted and extroverted open innovation on innovation performance, this paper also explored the interaction between the two types of innovation, which makes up for the deficiency of existing theoretical research. Secondly, the paper studies the difference and contingency of the influence of internal and external networks on the two types of open innovation under the business group framework, so as to further enrich the theoretical research on the innovation management of the group company. In addition, the research conclusions can provide reference for the implementation of the open innovation strategy of subsidiaries, and has important value for improving the innovation performance of subsidiaries and promoting the sustainable growth of business groups.Drawing on existing research, open innovation can be divided into introverted open innovation and extroverted open innovation. Introverted open innovation refers to the process of integrating external innovation resources into internal ones and absorbing, utilizing and commercializing them in a planned way, while extroverted open innovation refers to the process in which enterprises export their valuable innovation resources to the outside and authorize other subjects to absorb, integrate and commercialize. Data in this paper were obtained from a questionnaire survey conducted in 2017 to subsidiaries with R&D functions within the framework of national business groups, and 105 valid questionnaires were finally obtained. The research shows that: On the one hand, the introverted open innovation is positively correlated with the innovation performance of subsidiaries, which indicates that the introverted open innovation of subsidiaries promotes the improvement of innovation performance. Extroverted open innovation is also positively correlated with innovation performance, so the extroverted open innovation can promote the innovation performance of the subsidiary. What’s more, the interaction coefficient between introverted open innovation and extroverted open innovation on innovation performance is significantly positive, indicating that introverted open innovation and extroverted open innovation promote each other in the process of improving the innovation performance of subsidiaries. On the other hand, the internal network is positively correlated with the introverted open innovation at the significance level of 1%, while the relationship between the external network and the introverted open innovation is not significant, indicating that the internal network has a better promotion effect on the introverted open innovation. Similarly, external network is positively correlated with extroverted open innovation, while the relationship between internal network and extroverted open innovation is not significant, indicating that external network has a better promoting effect on it. Finally, the interaction between the internal network and the external network was positively correlated with the extroverted open innovation at the significance level of 10%, indicating that the internal network would strengthen the positive role of the external network in the process of extroverted open innovation, but the regression coefficient between the interaction and the introverted open innovation did not pass the significance test. In a word, both introverted and extroverted open innovation can promote the innovation performance of the subsidiary and both of them can promote each other; internal network and external network of business groups play different promoting roles on the different types of open innovation of the subsidiary companies, the internal network plays a stronger role in promoting the introverted open innovation, while the external network plays a stronger role in promoting the extroverted open innovation; in the process of extroverted open innovation, the internal network will strengthen the positive role of external network.Based on the research conclusions, we can get the following enlightenment: firstly, enterprises should actively build a two-way open innovation platform. Enterprises should not only fully absorb and make use of the technology and knowledge of various external innovation subjects such as scientific research institutions, upstream and downstream enterprises and enterprises in the same industry, but also actively export internal innovation achievements for other enterprises in the group, alliance partners and other cooperation subjects. It can not only enhance the innovation enthusiasm and enthusiasm of R&D personnel inside the enterprise, form a good innovation organization atmosphere, but also build the industry standard based on the internal technology of the enterprise in the external market, and effectively alleviate the business risk caused by innovation failure. Secondly, while making full use of the internal network of the group, the subsidiaries should actively explore and embed the external network to build a network ecosystem. Network construction and management ability is the key ability for enterprises to achieve long-term development and growth in the context of increasingly fierce market competition and increasingly complex development environment. Open innovation is a complex strategic action, which means that enterprises need to be set into different types of network, and constantly improve the network process of cooperation, achieve rapid exchange of technology, make external advantageous resources into the internal of internal innovation. At the same time, enterprises should effectively embed in the industrial chain, integrate various resources, use the technological achievements of opening to the outside world for output and value creation, and enhance their own production and innovation capacity.
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    Influence of government subsidies on agricultural firm’s R&D investment
    Zhan Jintao, Shao Xingjuan, Xu Meng
    2019, 40(4): 103-111. 
    Abstract ( 304 )  
    Government innovation subsidy is an important policy tool to support technological innovation for agricultural enterprises in a country, which is the best way to achieve the goal to promote the R&D investment leverage effect of agricultural enterprises rather than form subsidy dependence. However, there is still no systematic research on the effects of government innovation subsidy on technological innovation performance of agricultural enterprises. This paper firstly defines and analyzes the relevant theories and concepts of innovation subsidy, technological innovation and corporate governance mechanism based on the literatures from domestic and abroad. Next, on the basis of exploring the correlation among the variables, research hypothesis is proposed, and the conceptual model is established. Two groups of hypotheses are proposed as follows: H1, government subsidies positively influence the R&D investment for agricultural enterprises, to make technological innovation. H2, agricultural enterprises’ performance affects R&D investment from the long run and short run, and vice versa. Furtherly the paper empirically identifies the relationship between government subsidies, performance and R&D investment by using simultaneous equation model based on the data collected from the Chinese listed panel data of agricultural enterprises over the period of 2012-2014 from regular reports, disclosure information as well as their own website. A total of 105 agricultural-related listed enterprises in agriculture, forestry, animal husbandry and fishery in the Shenwan industry classification were studied. The annual financial statements of the enterprise audited and approved by the CSRC were used as data sources. A complete database including 81 agricultural listed enterprises between 2012-2014 is obtained after eliminating the incomplete enterprise data of important research indicators. The results show that there is a significant positive effect of government innovation subsidy on the R&D investment for agricultural enterprises, while the effects are different among agricultural industries. Enterprises’ performance affect R&D investment from the long run and short run both, while the former less effect than the latter. The result also suggests that R&D investment from agricultural enterprises significantly relies on government innovation subsidies. As regard to the industry differences, there are significant industry differences in the effects of government subsidies on agricultural innovation and R&D investment for agricultural enterprises in China. The average level of R&D investment in crop farming and animal husbandry enterprises is higher than that in forestry and fishery enterprises, while the former R&D investment is significantly different from the latter. In addition, there are much stronger stimulating effects of government subsidies on R&D investment increase for enterprises in crop farming and animal husbandry than those in forestry and fishery industry. An analogous situation exists between non-state-owned agricultural enterprises and state-owned enterprises. Compared with state-owned enterprises, there are much stronger stimulating effects of government subsidies on R&D investment increase for non-state-owned agricultural enterprises. However, the distribution of subsidies in industry, forestry, animal husbandry, and fisheries does not reflect the differences between the industry and individuals among agricultural enterprises. Moreover, individual heterogeneity and corporate governance mechanisms are also important factors affecting the efficiency of government subsidies for R&D innovation investment. Highly concentrated equity structure and incentives for corporate executives are more conducive to increase R&D investment and improve performance for agricultural enterprises as a whole. High asset-liability ratio is not conducive to promote R&D investment and performance improvement, while perfect governance structure would have a regulatory effect on R&D increase and corporate performance for agricultural enterprises. Finally, the paper provides advice on enterprise management and policy implementation from improving the R&D efficiency of agricultural enterprises and adjusting the government subsidy distribution structure.The paper argues that regulating government grants funding, improving the corporate governance and capital structure are the prerequisite of perfecting the technological innovation system, and improving business performance for agricultural enterprises. Agricultural enterprises should improve the ownership structure, executive compensation, optimize the structure of assets and liabilities, and enhance the corporate governance mechanism to maximize corporate performance from R&D investment. The implementation of the government subsidy policy should focus on raising the level of government subsidies for high-technology agricultural enterprises in crop production and animal husbandry, strengthening the supervision and control of government subsidies for agricultural enterprises, and improving the efficiency of government subsidies.
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    A study of the influence mechanism of GVCGFs investment on follow-up financing of entrepreneurial firms
    Feng Bing, Yang Minli, Guo Lihong
    2019, 40(4): 112-124. 
    Abstract ( 312 )  
     As one of the supporting measures of “National Medium and Long-term Science and Technology Development Plan (2006-2020)”, the establishment of China’s Government Venture Capital Guiding Funds (GVCGFs) is aimed at promoting the venture capital (VC) market and entrepreneurship financing. Because the amount of GVCGFs is limited and multi-rounds of financing are needed for most entrepreneurial firms to grow and mature, it would be utterly inadequate just relying on GVCGFs investment to facilitate the entrepreneurship financing. Promoting follow-up financing of entrepreneurial firms through GVCGFs investment can not only alleviate the difficulties of entrepreneurial financing to a greater degree, but also enhance the guiding role of GVCGFs for social capital and the amplifying and leveraging function of fiscal funds.This paper investigates the mechanism of the influence of GVCGFs investment on entrepreneurial firms follow-up financing and explores the policy measures to facilitate entrepreneurial follow-up financing through GVCGFs investment. The basic methodology of this study is to contrast the differences of follow-up financing between GVCGFs-invested entrepreneurial firms and private venture capital funds (PVCFs) invested entrepreneurial firms, and the main contents of this study include three parts. Firstly, hypotheses are put forward from the perspective of incentive, certification and virtuous cycle. From the perspective of incentive,the revenue-related compensation would positively incentive venture capitalists to put more human capital into the entrepreneurial firms, the loss compensation would negatively incentive venture capitalists to put less human capital into the entrepreneurial firms, and the market-oriented mode of operation would have no incentive effect, neither positive nor negative. Thus, if GVCGFs provide the revenue-related compensation for private capital, the follow-up financing of entrepreneurial firms could be facilitated; nevertheless, if GVCGFs provide the loss compensation plus revenue-related compensation for private capital, or adopt the market-oriented mode of operation, the follow-up financing of entrepreneurial firms could not be facilitated. From the perspective of certification, GVCGFs would certify the quality of entrepreneurial firms, which can alleviate the financing difficulties caused by the information asymmetry between other investors and entrepreneurial firms. As a result, if GVCGFs invest in entrepreneurial firms of early-stage or in high-tech industry, the follow-up financing of entrepreneurial firms could be facilitated more significantly. From the perspective of virtuous cycle, the investment activities of GVCGFs in the early development stage of VC market will create a “virtuous circle” and pave the way for the later development of VC market. Hence, if GVCGFs invest in entrepreneurial firms in VC less-developed districts, the follow-up financing of entrepreneurial firms could be facilitated more significantly. Secondly, data are collected from Zero2IPO Database, which is the earliest and widely covered commercial VC database in China, and one-match samples are constructed with GVCGFs-invested entrepreneurial firms and PVCFs-invested entrepreneurial firms. The matching principle is that the GVCGFs-invested entrepreneurial firms and the PVCFs-invested entrepreneurial firms are of the same financing round, in the same month of financing timing, in the same industry, and in the same province. At last, hypotheses put forward above are tested empirically with the matching samples, and the empirical results support the incentive hypotheses, but do not support the hypotheses put forward from the certification perspective or from the virtuous cycle perspective. To sum up, the main empirical results of this paper are shown as follows: (1) If GVCGFs provide the revenue-related compensation for private capital, the possibilities of follow-up financing of GVCGFs-invested entrepreneurial firms are significantly higher than those of PVCFs-invested entrepreneurial firms within two years after the first round of financing, and the duration of GVCGFs-invested entrepreneurial firms between the first round financing and follow-up financing is significantly shorter than that of PVCFs-invested entrepreneurial firms; however, if GVCGFs provide the loss compensation plus revenue-related compensation for private capital, or adopt the market-oriented mode of operation, the differences of follow-up financing between GVCGFs-invested entrepreneurial firms and PVCFs-invested entrepreneurial firms are insignificant. (2) Whether GVCGFs invest in early-stage or later-stage entrepreneurial firms, the differences of follow-up financing between GVCGFs-invested entrepreneurial firms and PVCFs-invested entrepreneurial firms are insignificant. (3) Whether GVCGFs invest in high-tech industry or in non-high-tech industry, the differences of follow-up financing between GVCGFs-invested entrepreneurial firms and PVCFs-invested entrepreneurial firms are insignificant. (4) Whether GVCGFs invest in VC less-developed districts or in VC well-developed districts, the differences of follow-up financing between GVCGFs-invested entrepreneurial firms and PVCFs-invested entrepreneurial firms are insignificant.The contributions of this paper are twofold. At first, there are many international literatures studying the impact of government venture capital (GVC) on entrepreneurial firms by comparing the differences between GVC-invested entrepreneurial firms and private venture capital (PVC) invested entrepreneurial firms. However, little attention has been paid to the cause of the differences between them. This paper focuses on the incentive mechanism, certification mechanism and virtuous circle mechanism, which may lead to the differences between the two types of entrepreneurial firms. It is found that the incentive mechanism can explain the follow-on financing differences between GVC-invested entrepreneurial firms and PVC-invested entrepreneurial firms. This finding is the most important theoretical contribution of this paper. Secondly, Chinese domestic scholars have carried out a lot of research on the management mode, operation mode, investment mode, risk management, performance evaluation and guiding effect of the GVCGFs. However, there is almost no literature studying the impact of GVCGFs on entrepreneurial firms. This paper investigates the influence of GVCGFs on entrepreneurial firms by comparing the follow-on financing differences between GVCGFs-invested entrepreneurial firms and PVCFs-invested entrepreneurial firms, extending the academic research on GVCGFs.The policy implications of this paper can be summarized as follows: the key point to boost the follow-on financing of entrepreneurial firms through GVCGFs lies in the appropriate compensation mechanism for private capital. According to the results of this paper, the only way for GVCGFs to promote follow-on financing of entrepreneurial firms is to provide private capital with the revenue-related compensation. Furthermore, among the four kinds of the revenue-related compensations, the priority should be given to the fixed-revenue compensation because its policy effect is most significant, which exactly is what the government care about mostly, and its policy cost can be estimated very clearly in advance, which can reduce the operation uncertainty of GVCGFs and limit the risk of government.
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    Stage characteristics of financial development boost energy efficiency
    Yang Yue1,2, Cheng Liwei2
    2019, 40(4): 125-134. 
    Abstract ( 253 )  

    Much attention has been paid to the environmental problem caused by poor efficiency of energy use. Most of all, we should realize the problem such as global warming and the frequent appearance of the "haze" weather. For sustainable development in all regions, it is necessary to take measure to solve the problem above, and undoubtedly, efficiency improvement is the route one must take to alleviate the contradiction between energy supply and demand and to alleviate the pressure of environmental protection. In recent years, it has been a matter of great concern on the ways of energy-saving and emission-reduction supported by financial system. How to relieve the financing constraints of enterprise technological innovation, and to improve the optimal allocation of regional resources, as well as the transmission path to push forward progress in energy-saving and emission-reduction, is question which is still worth discussing. Perfect financial system can provide strong support through scale expansion, structure adjustment and efficiency promotion for resources rational allocation and utilization. It is of guiding significance to grasp the current situation of energy efficiency in China and formulate effective financial policies to explore the impact mechanism and transmission path of financial development on energy efficiency. China’s low regional energy efficiency is reflected in two aspects: usage and allocation. On the one hand, low technology level and extensive energy use have seriously affected the improvement of energy efficiency, high cost of equipment retrofits and technological innovations and the trade-offs of consistently low energy price make the company less efficient in internal energy efficiency development, Combining with a longer return on investment which causes serious external financing constraints. On the other hand, the substitution of elements that deviate from the optimal combination of factors makes the energy allocation efficiency decline, factor market imperfection, and the government's price control on primary energy causes the energy price to be seriously underestimated. The relative price distortion of capital, labor and energy makes the micro-enterprises usually lack of motivation for technological innovation or improvement under the trade-off of cost and revenue, continuing using low-cost energy for factor replacement to maintain production.Some progress has been made in theoretical research on the impact of financial development on energy efficiency both here and abroad, but there are still some limitations. Firstly, in terms of the selection of financial development indicators, the existing literature pays less attention to the systemic integrity of financial development, depicts financial development only from the perspective of scale, ignores the impact of changes in financial structure and improvement of financial efficiency on energy efficiency. Therefore, it makes the conclusion biased because it can not cover all the essentials of financial development. Secondly, there are abundant models to test the relationship between financial development and energy efficiency, but most of these models are linear ones. This paper argues the complex non-linear relationship between financial development and energy efficiency, which is resulted in the differences of regional resource endowment, economic level and industrialization degree. This non-linear relationship is also the main reason for the inconsistency of the existing literature on the direction and extent of the impact of financial development on energy efficiency.The main work and contributions of this paper mainly focus on the following two aspects: First, grasp the systemic characteristics of financial development, and regard it as a continuously dynamic optimization, multi-functional whole, and integrate financial structure and financial efficiency into the analytical framework of financial development, the mechanism and conduction path of financial development to energy efficiency are combed from three aspects: the improvement of financial structure, the increase of financial scale and the improvement of financial efficiency. Secondly, fully consider the non-linear impact of regional heterogeneity. Try to use threshold regression method to examine the impact of financial development on energy efficiency in different regions and the phased characteristics of the mechanism. Try to explore the stage characteristics and mechanism of financial development affecting energy efficiency, and explore effective ways for regional financial development to improve energy efficiency. These are of guiding significance for grasping the current energy efficiency of various regions and formulating effective financial policies.This paper grasps the dynamic and systematic characteristics of financial development, incorporates structural and efficiency factors into the analytical framework of financial development, and sorts out the influence mechanism and conduction path of financial development on energy efficiency. Panel data of 28 provinces in China from 2000 to 2014 were selected to examine the impact of financial development on energy use and allocation from three dimensions: size, structure and efficiency. Threshold regression method is used to examine the stage characteristics of the impact of financial development on energy efficiency in different regions with industrial structure as the threshold variable. Investigate the non-linear relationship between financial development and energy efficiency, find the internal law that financial development affects energy efficiency with the adjustment of industrial structure, and explore the effective ways of regional financial development to improve energy efficiency. The following conclusions are obtained through the above research: (1) Financial scale expansion, structural adjustment and efficiency improvement affect energy technology utilization efficiency and energy allocation efficiency respectively by alleviating technology improvement financing constraints and optimizing resource allocation. (2) Due to the existence of problems such as survivability production, hidden cumulative effect and intrinsic incentive of resource allocation, the influence of financial development on the utilization efficiency and allocation efficiency is not simply linear, but has significant stage characteristics with the adjustment of industrial structure: ①Compared with energy utilization efficiency, the impact of financial development on energy allocation efficiency is more sensitive to the impact of industrial structure environment;②The expansion of bank credit and capital market has staged substitution effect in promoting energy efficiency;③Market-oriented financial restructuring can better improve the energy allocation efficiency.

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    Effect of budget control system on scientific research funds spending performance
    Zhang Chuan, Zhang Tao
    2019, 40(4): 135-144. 
    Abstract ( 369 )  
    Scientific research units, as well as government administrative departments, acknowledge the importance of budget control to the management of scientific research funds. Scholars have done a lot of research on the impact of budget control system and its factors on the performance of scientific research expenditure in China. Generally speaking, the existing research mainly takes developed countries as benchmarks or makes qualitative analyses of each factor itself according to subjective experience. Although some scholars in the world have earlier empirically explained the importance of budget control in R&D and emphasized the flexibility of funding system constraints, there is still a lack of research on the impact mechanism of integrated budget control system on the performance of scientific research expenditure. The purpose of this paper is to examine whether the status quo of budget control system factors and budget execution can effectively control the performance of scientific research expenditure.In addition to budget control system, accounting is another factor that may likely influence the performance of scientific research expenditure. Scholars generally regard reducing the accounting difficulty and improving the scientificity, rationality and practicability of accounting as the research focus of scientific research funds accounting. However, an exception is a recent study by three Chinese scholars that provides analytical, as well as empirical, evidence that accounting difficulty is not the main factor directly affecting the management of scientific research funds. Then, how does the accounting difficulty affect the performance of scientific research expenditure in China? How heterogeneous is the impact of accounting difficulty on the relationship between budget control system and performance of scientific research expenditure? It is of great theoretical significance to the performance of scientific research expenditure.The relationship between budget control system, accounting difficulty, and performance of scientific research expenditure remains, to date, more or less a black box. Based on the theory of budget control system, this paper constructs a relatively complete impact mechanism model of budget control system, and divides the performance of scientific research expenditure into two levels: the expenditure performance of scientific research personnel and the fund management performance of scientific research units. The research data are collected in the form of questionnaires, in which the items of the questionnaires refer to the prior literature. With the help of Shanghai Science and Technology Commission and Shanghai Maritime University, this paper conducts field research and forecasting tests, and invites experts from Shanghai Jiaotong University, Shanghai Institute of Technology Logistics under Chinese Academy of Sciences and the Office of Audit Office in Shanghai to evaluate the questionnaire. Formal questionnaires are distributed to researchers and research managers of universities and research institutes in Shanghai and Zhejiang. Then, using the OLS regression method, this paper empirically analyzes the impact mechanism of budget control system factors and the moderating effect of accounting difficulty on the performance of scientific research expenditure. Overall, the results find the following conclusions.Firstly, it is not balanced that three factors of budget control system affect two level performance of scientific research expenditure. On the one hand, system design and internal supervision have a significant positive impact on the performance of scientific research expenditure, which shows that the more reasonable the system design and the more active the internal supervision, the more effective the performance of scientific research expenditure can be improved. It is suggested that scientific research units should conscientiously implement the national scientific research policy, strengthen system reform and innovation, explore a budget system that conforms to scientific research laws, project nature and discipline characteristics, and strive to improve the supervision enthusiasm of internal departments in order to form a sound and effective internal supervision system. On the other hand, although the third-party evaluation audit has no significant impact on the fund management performance of scientific research units, it has a significant impact on the expenditure performance of scientific research personnel. For a long time, the third-party evaluation audit institutions are seldom introduced into the management of scientific research funds. The conclusion of this paper confirms that the third-party evaluation audit should not be neglected.Secondly, budget execution has a mediating effect on the relationship between budget control system factors and the performance of scientific research expenditure. Specifically, system design and internal supervision have significantly positive impact on two level performance of scientific research expenditure by mediation of budget execution; the third-party evaluation audit has a positive impact on the expenditure performance of scientific research personnel through mediator of budget execution. It implies that existing budget compilation and implementation is still play an effective role in controlling the performance of scientific research expenditure, which is the core and key of the management of scientific research funds. This paper also confirms that third-party evaluation audit can significantly improve budget execution in the management of scientific research funds. This has important theoretical significance for the research of budget control system.Thirdly, the accounting difficulty negatively moderates the relationship between budget execution and two level performance of scientific research expenditure. Extensive accounting model, especially the lack of scientific, reasonable and practical indirect cost accounting methods, is difficult to provide timely and accurate accounting data, thus weakening the positive impact of budget execution on the performance of scientific research expenditure. The management of scientific research funds is a systematic project, which cannot emphasize the role of one or some factors partially or in isolation. We must systematically understand the mechanism of each factor, take the budget execution as the core, and coordinate the factors of each budget control system with the accounting in order to effectively improve the performance of scientific research expenditure.This study makes several important contributions. First, this paper identifiesthree budget control system factors: system design, internal supervision, third-party evaluation audit and empirically examines their impact on the performance of scientific research expenditure, which expands the previous research literature on budget control system and the management of scientific research funds. Second, to divide the performance of scientific research expenditure into the expenditure performance of scientific research personnel and the fund management performance of scientific research units is helpful to correctly understand the management practice of scientific research funds. Finally, it constructs a more systematic and complete management control effectiveness framework and confirms the mediating effect of budget execution and the moderating effect of accounting difficulty on the performance of scientific research expenditure, which provides strong empirical support and beneficial enlightenment for the policy making of the management of scientific research funds in China.
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    Intelligent manufacturing and economic upgrading in GVCs——A case study of Haier COSMOPlat
    Lv Wenjing, Chen Jin, Liu Jin
    2019, 40(4): 145-156. 
    Abstract ( 990 )  
    Manufacturing is the mainstay of China's national economy. In recent years, China's manufacturing industry has developed rapidly, but it still faces various problems. From the perspective of global value chain (GVC) participation, which is the most effective indicator measuring a country’s manufacturing development and capability, most of China's manufacturing industry is still struggling at the low end of the GVC. Meanwhile, the fourth industrial revolution has also made China’s manufacturing industry face the urgent need to upgrade to the higher-end of GVC. However, previous literature lacks theoretical discussion on how to achieve upgrading in GVC, and to some extent neglects practical discussion on upgrading strategy for firms. Whereas with the development of artificial intelligence (AI) and related information technology in recent years, intelligent manufacturing with digital, network and intelligence as the key features has become the main direction of the future development of the manufacturing industry, and has the potential to enhance China's position in the global manufacturing competition and realizing the transformation and upgrading of the manufacturing industry. This paper is among the first to discuss China’s intelligent manufacturing practice, and explore Chinese manufacturing enterprises’ upgrading path in GVCs through intelligent manufacturing. China’s home appliance industry is one of the earliest industries in China to participate in the global division of labor, and is one of the most competitive industries in China's manufacturing industry. Haier Group is one of the leading companies in China's home appliance industry. At the beginning of 2016, Haier officially launched the Cloud of Smart Manufacturing Operation Plat (COSMOPlat), the first industrial Internet platform with independent intellectual property rights in China, aiming to provide mass customization services for domestic manufacturers, and drive related manufacturing companies with different capabilities to transform into intelligent manufacturing. Thus, based on an explorative single case study of Haier COSMOPlat, this paper analyzes the intelligent manufacturing mode, dynamic process and upgrading path of Haier COSMOPlat in GVCs, and proposes an integrative framework of economic upgrading in GVCs of Chinese manufacturing enterprises through intelligent manufacturing. Data are collected both from first hand materials through semi-structured in-depth face-to-face interviews and internal document materials from Haier, and second hand materials through websites, news reports, academic articles and other literature, to guarantee the reliability and validity of the case study through “triangular verification”.The results show as below: in aspects of GVC governance mode, Haier COSMOPlatadopts a strategy of starting from both the production and procurement side, through modular production and modular supply mode, due to the hybrid model of China’s home appliance industry, which is both producer-driven and buyer-driven.In aspects of GVC upgrading path, Haier COSMOPlat realizes function upgrading and process upgrading through intelligent production, realizes product upgrading and inter-chain upgrading through producing intelligent products based on big data and cloud computing. Meanwhile, Haier COSMOPlat realizes market upgrading through providing intelligent services, and upgrades into a new GVC through intelligent manufacturing. Based on above analysis, this paper further proposes a framework for Chinese manufacturing enterprises, in aspects of upgrading path selection, intelligent manufacturing mode selection, and strategic choice of leading enterprises. The results also show that theupgrading strategy making of Chinese manufacturing needs to consider the GVC governance type of the industry, and chooses the suitable upgrading path with intelligent manufacturing, intelligent service and intelligent products. Meanwhile, the leading enterprise can transform into the industry manufacturing platform through intelligent manufacturing, thus leading related firms in the industry to realize overall upgrading in GVCs. These leading enterprises can play their roles to drive related companies to upgrade in GVC through intelligent manufacturing. For latecomers like China, leading enterprises are the main sources of power for industrial upgrading in the GVC. As a leading enterprise in China's home appliance industry, Haier COSMOPlat reform practice has effectively improved the technical standards of the home appliance industry, and has enabled relevant SMEs to replicate their best practices in intelligent manufacturing, helping corporate customers reduce trial and error costs and provide Chinese manufacturing companies with a reference experience with great value.In conclusion, this paper proposes that intelligent manufacturing is an effective way for Chinese manufacturing firms to achieve GVC upgrading. Specifically, the transformation of intelligent manufacturing in China's manufacturing industry needs to shift to intelligent production, improve the level of informationization and intelligence in the production process, digitally drive network collaborative manufacturing, and transform and upgrade to higher value-added production links. These conclusions will enrich the research of GVCs both from the theory and practice, and provide practical suggestions for the transformation and upgrading of Chinese manufacturing enterprises. In aspect of theoretical contribution, this paper is one of theoretical extensions of development of GVC research in the field of strategic management. Although GVC research originated from the value chain theory in the field of strategic management, in the subsequent development process, it rarely analyzes the upgrading process of specific enterprises from a dynamic perspective. This GVC upgrading path and mechanism of Haier COSMOPlat studies in this paper can provide useful reference for future research on the GVC strategy of leading companies. Meanwhile, this paper also provides a new research way for GVC upgrading research. Previous studies have mostly been a summary of the experience of existing country or industry upgrading processes. However, in the specific practice, few firms will follow a single upgrading path. At the same time, the specific upgrading path and upgrading mode of the enterprise are also affected by the characteristics of the industry. The results of this paper fills the theoretical gap between GVC governance model and firm upgrading paths. In addition, this paper also explores the possible integration of intelligent manufacturing as an industrial technology thought, and strategic management theory.
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    Process and sources of managerial learning: A case study of SAIC Motor Corporation Limited
    Zhang Nana, Xie Wei, Zang Shuwei
    2019, 40(4): 157-167. 
    Abstract ( 430 )  
    Managerial learning is a key mechanism for leveraging enterprises’ competitiveness. Particularly toward enterprises in developing countries, managerial learning is important mechanism for learning managerial knowledge, rules, approaches, and routines from leading enterprises located in developed counties, such as balanced score card, SWOT analysis matrix, target management and so on. Most of previous literatures mainly focus on technological learning aspects of enterprises in latecomer countries, while ignoring the emphasis of managerial learning issues. In the 1990s, there is a relatively concentrated exploration of managerial learning. Some researchers discussed the content, ways and influencing factors of managerial learning based on cases of enterprises located in Soviet Union, China, Hungary, Czech Republic and other countries. Although most of those researches focused on the definition and description of managerial learning practice, limited systematic analysis of learning processes and sources. The paper is constructed to fill the research gap. It focuses on “How enterprises do managerial learning?”, which further deconstruct into three sub questions: (1) Identifying the phase characteristics of managerial learning; (2) Exploring the relationship between joint venture and managerial learning; and (3) Analyzing the mechanisms of enterprise obtaining managerial knowledge.Managerial learning becomes an important way for Chinese enterprises to improve their management ability. The research is of significant theoretical and practical value for summarizing the successful experience of managerial learning. Since the reform and opening up, Chinese enterprises have acquired international knowledge through various ways. Take the automobile industry as an example, establishing Sino-foreign joint ventures once became an important way for them to acquire technical knowledge. Although abundant management knowledge is embedded in the joint venture network, most research results focus on the introduction, imitation, catching-up and innovation of hard technology knowledge. The paper explores the related research questions on the basis of managerial learning evidences and lessons from a firm-level single case study. The target case is the SAIC Motor Corporation Limited, which is one of the key enterprises in the Chinese automotive industry. Establishing joint ventures with international enterprises is an important feature of SAIC's development path, and joint ventures turn to be a critical network resource for SAIC to acquire leading technology and management knowledge. From 1985, when SAIC Motor Corporation Limited established joint ventures with Volkswagen, General Motors and Bosch, it has begun to adopt several best management practices, such as quality management, Crosby's zero defect management model, lean production management, project management, stock option incentive plan, and so on. Based on social network theory, the paper discusses the main process and origins of enterprise promoting managerial learning in detail. The main analysis process includes four steps: (1) Collecting data from diverse sources, involving the first-hand semi-constructed interviews of managerial team members, second-hand data of enterprise’s annual reports, news reports, and others from website; (2) Organizing raw data in forms of chart and table, and carding managerial learning events; (3) Analyzing managerial learning events to conclude main learning stages and sources of learning; and (4) Summarizing research results and managerial implications for firms.The research results indicateas follows: 1. The main process of enterprises’ managerial learning involves four stages like warming up, construction of modern corporation system, management system development, and implementation and optimization for new management practice. Management reform plays an important role in the process of managerial learning, and the intensity presents a trend of inverted U-shaped.2. Joint venture plays an important role on the managerial learning process of latecomer enterprises, such as narrowing the gap on managerial levels, and proving knowledge resources, human capitals, and investments on managerial learning. SAIC Motor Corporation Limited has experienced four joint ventures established periods: before joint venture (1955-1984), starting period of joint venture (1985-1999), joint venture boom period (2000-2006) and transformation period (2007- ). And it gained managerial resources in the process of developing joint venture.3. The sources of managerial learning refer to four aspects involving business coordination, personnel flows, external professional institutions, and intra-organizational learning center. Because management is the base for business coordination, so the higher the synergy between the two business partners, the more they encourage managerial learning behavior. And the higher the business synergy of the supply chain, the better the managerial learning performance of the jointventure company. Personnel flow is conducive to the diffusion and transfer of management knowledge, and it promotes organizational managerial learning mainly through direct management participation, consultation and supervision function. The higher the position of managers, the greater the influence of their management participation and consultation and supervision and the greater the contribution of such staff's turnover to managerial learning. Consulting companies, as professional organizations for disseminating management knowledge, are important members of enterprise management knowledge network and important channels for enterprises to acquire advanced knowledge from the outside world. Learning center is a full-time institution responsible for the diffusion and transfer of management knowledge within the enterprise; the larger the scale of the enterprise, the more significant the role of learning center.Based on the main research results, the paper constructs an integrated managerial learning framework of the SAIC Motor. The framework indicate that:(1) Joint venture is a learning mechanism for acquiring management knowledge, so the performance appraisal of joint venture should be making based on its contribution to firms’ technology learning and managerial learning; and (2) As important as the roles of business tie and political tie, management knowledge tie is a critical part of firms’ social network, and it consist of external business partners, some professional institutions, employees and intra-organizational learning centers. In addition, the paper shed new lights on catch-up literature from managerial learning, and provide implications for Chinese enterprises practicing managerial learning from four aspects as follows:(1) Emphasizing both the technological knowledge spillover and the managerial knowledge spillover of joint ventures; (2) Paying attention to the knowledge spillover on the supply chain, and making good use of the relevant business coordination benefits; (3) Highlighting the collaborations with external professional organizations like consultant firms, universities and so on; and (4) Enhancing the investments on the construction of intra-organizational learning centers and developing enterprises’ platforms for knowledge sharing.
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    Social network and innovative entrepreneurship of maker space: A case study based on the entrepreneurial café
    Feng Haihong, Qu Wan
    2019, 40(4): 168-178. 
    Abstract ( 240 )  
    As new type of incubators, the Maker Space performs not only as the emerging entrepreneurial service institution and community, but also as the emerging economic pattern and business model. The entrepreneurial model and developing trajectory of Maker Space are greatly influenced by the social network, which is greatly different with the mechanism and operating model of the normal incubators. This paper attempts to conduct exploratory research on the choice of innovation and entrepreneurship mode of Maker Space under the influence of different types of social networks. There are three standards we introduced to identify the proper cases. First, the cases should belong to the Maker Space, which should have high industrial identity and social influence. Secondly, the cases should have complete social network, with relatively mature capital network, market network, technology network, professional service network, media network and institutional network. Thirdly, the cases should meets the standards of GEM on new ventures, which lasted for more than 42 months with profitable business model and stable development. To do comparing research, we select two cases, one is 3W Coffee, the other is Garage Coffee.We conducted a three-year participatory observation and diversified survey of the two cases, by means of participating in the founder's keynote speech, conducting in-depth interviews with case founders and managers, collecting relevant media news interviews, and occasionally participating in case studies. We also use information of relevant activities, information on WeChat public, and other methods to organize the data.To do the research, we formed a basic database of about 200,000 words, and we use the mutual verification of different data to ensure the authenticity and consistency of the data. The main content of interviews and research are: (1) the composition and experience of the entrepreneurial team; (2) the source of the founding capital and early funds; (3) professional technology, professional services and sources; (4) the establishment of entrepreneurs gathering places; (5) organizational structure design and organization operation;and (6) coordination and interaction with the government. The paper categorized the social network into six aspects, including the capital network, the market network, the technical network, the professional service network, the media network, and the system network. Based on the social network, this paper analyzed the critical factors that influenced the business model and found out four results. First of all, the collaborative governance of multi-dimensional network under strategic action-orientation shaped the business model of maker space; and different kinds of social network have different influence on the business model of maker space. Secondly, the capital network, market network, technology network and professional service network play a decisive role in the choice of entrepreneurial mode. Thirdly, the media network showed a strong positive impact on the entrepreneurial mode at the beginning of the enterprising stage. Last but not least, the institutional network has greatly promoted the development of the maker space, but has no direct and significant impact on the entrepreneurial mode. The current academic research on entrepreneurial model focuses on the ordinary enterprises. There is seldom research on new incubators like Maker Space. This paper is to some extent a complement and supplement to the current theoretical research of entrepreneurship.The results of this paper provide four clues. First of all, we need to build up an innovation friendly environment. The results show that, the institutional network has greatly promoted the development of the space of mass creation. Therefore, we should simplify the administration under the action orientation and characteristics of the Maker Space, improve the policy system including the innovation and entrepreneurship tax incentives, rent concessions, entrepreneurial investment and financing. We should improve the mechanism of equity incentives and profit distribution, effectively increase the policies implementation, truly reduce the cost of innovation and entrepreneurship, and protect the legitimate rights and interests of innovative entrepreneurs. Secondly, we should establish a culture that encourages innovation and encourages entrepreneurship; encourages social forces to carry out various public welfare activities around mass entrepreneurship and innovation; advocates innovation culture which dares to be first and tolerantly fail through the publicity of the official media; establishes value orientation that advocates innovation, entrepreneurship and wealth, and cultivates vigorously entrepreneurship and maker culture. Thirdly, the system of innovation and entrepreneurship is established and improved to support the construction of public service platforms and service organizations for SMEs by means of government purchase services and post-subsidies, encourage various social organizations to provide Intermediary services for start-ups, such as entrepreneurial counseling, intellectual property, legal, inspection and testing, consulting, investment and financing services, and encourage enterprises to establish professional service platforms with wide coverage, high quality and low cost through PPP and other methods. Last but not least, the innovative development of Maker Space is supported to promote the advanced experience of various new incubators, and guide the differentiation development and characteristic development of Maker Spaces by means of incentives, tax exemptions, rent concessions, investment and financing subsidies, etc.
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    Questionable patent, invention height and R&D investment——An endogenous model of patent quality
    Dong Liang, Fang Zhongxiu
    2019, 40(4): 179-189. 
    Abstract ( 232 )  
    Questionable Patent is also referred to as a “probabilistic patent” or a “weak patent”, which is a patent that is improperly granted, including that does not conform to the provisions of the present patent law, and a patent right may be granted but has a wide scope of claims. The causes of questionable patent include internal and external factors. The inherent factor is that the patent right is not a fully enforceable right, and the patent holder actually has the right to be able to claim his right in court. However, due to the uncertainty of the result of the litigation, the validity of the patent right cannot be determined accordingly, which is the root cause of the questionable patent. The external factors are referred to the sharp increase in the number of patent applications, insufficient quality of the inspector, limited review time, insufficient authorization and retrieval conditions, and the defects of related policies, etc.The questionable patent could bring great harm to the society, such as hindering the innovation or increasing the cost of innovation, increasing the formation of the patent jungles, creating new difficulties of the patent license, and increasing the uncertainty of the patent prospect. Charging royalties or threatening litigation through questionable patent would frustrate competition from existing or potential firms. Therefore, the questionable patent is one of the most serious problems facing the patent system.In view of all kinds of social and economic problems caused by questionable patent, scholars have done a great deal of research on this problem, and most of them advocate that the questionable patent should be governed by strengthening the examination process or increasing judicial input. However, most of the existing literatures assume that the patent quality (the validity of the patent) is exogenous, but few scholars discuss on the endogenous problem of patent quality. If we can realize the endogenous quality of patent, the causes of questionable patent could be analyzed at a more essential level, which may bring some new conclusions and enlightenment.The concept of "height of invention" is introduced in this paper. If an invention attempts to obtain a patent, it must satisfy the three factors of "novelty", "practicability" and "non-obvious", and the height of invention is a comprehensive concept containing the above three factors. Questionable patent is not without any innovation, but not with enough height of invention, which often requires enough R&D investment to achieve. Patent quality is not given naturally. R&D investment determines the height of invention and the height of invention further determines the quality of patent. Therefore, there is always a positive correlation between R&D investment and patent quality. If we regard R&D investment as an exogenous variable, we could transform height of invention into an endogenous variable and realize the endogenous quality of patent. On this basis, we could analyze the impact of R&D investment, market structure and existing technology on patent quality in the process of patent marketization.In this paper, we assume that there is a positive correlation between invention height and R&D investment, and a positive correlation between patent quality and invention height, thus establishing a relationship between patent quality and R&D investment,and then endogenous quality of patent is achieved. This paper takes game theory as the main research method,and analyzes R&D investment, patent licensing behavior of innovative firms and the strategic choice of non-innovative firms by a duopoly game model, and then compares the quality of patent in different situations. This paper mainly discusses the following two aspects: on one hand, what are the factors that determine the quality of the patent? How do these factors affect R&D investment and firm behavior? On the other hand, what is the impact of questionable patent on social welfare? At the same time, questionable patents often accompany patent litigation, and what role does the court play in this process?The results show that it is possible for innovation firms to provide questionable patent in any case, which is mainly due to the high requirement forheight of invention or the low R&D efficiency of related innovation activities, or both. The establishment of court compensation for patent infringement greatly affects the behavior of potential infringers and then determines the market structure. When the amount of compensation for patent infringement is low, the expected loss caused by the infringement of non-innovative firms is small, so the incentive of infringement will be increased, resulting in the increase of the number of firms in the market. From the perspective of social welfare,questionable patent does not always have a negative effect. When significant innovation is very difficult, complete quality patents need to invest a lot of R&D costs, and these costs are difficult to be compensated from the process of patent marketization. At this time, incomplete quality patents could realize the optimization of social welfare.The main revelation of this paper is that the impact of market structure on R&D depends on the specific characteristics of different industries or related innovations from the perspective of patent quality. There is a certain relationship between market structure and patent quality, but this correlation is not monotonous. From the point of view of social welfare, questionable patent is not always harmful, its existence is reasonable sometimes. Therefore, the questionable patent should be treated differently under different circumstances. Courts should be strict with questionable patent when significant innovation is easy, such as setting a lower amount of patent compensation or the trial results are conducive to reducing the market power of patent firm. When significant innovation is difficult, the court should take a more lenient attitude towards questionable patent, such as setting a higher amount of patent compensation or the trial result is relatively favorable to the patent firm. The existing governance mode of questionable patent is relatively simple, and it may be difficult to achieve a more satisfactory result. Therefore, more diversified measures should be taken for the governance of questionable patent.
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    Basic characteristics and trial results of repeatedly litigated patents in China
    Mao Hao, Yin Zhifeng
    2019, 40(4): 190-202. 
    Abstract ( 235 )  
    With the improvement of the intellectual property protection environment and the enhancement of entities’ capacity in using the intellectual property system, the number of patent litigations in China continues to increase. Accompanying the surge of patent litigation, the issues of slack patent protection, high cost for rights protection as well as low cost of infringement are highlighted. Based on the first-instance data of patent civil litigation from 2000 to 2014, this paper defines the repeated litigated patent from the use of the same patent to initiate two (and above) litigations and eight (and above) litigations, respectively. Focusing on the impact of repeated litigated patents on the probability of winning for the plaintiff, the main conclusions are as followings.First, the improvement of China's intellectual property protection intensity, especially the revision of the damage awards standard in the Patent Law, has pushed up the number of patent litigations and further led to significant growth in repeated litigated patents.Second, although a large number of  design and utility models have been used in patent litigations, there are still invention patents experiencing repeated litigations. Furthermore, the repeated litigated patents appear more in case of invention patent when the year, industry as well as region fixed effects are controlled, which is totally different from the case of overall litigated patents.Third, at present, China's repeated litigated patents mainly occur between domestic entities, and are concentrated in the traditional manufacturing industries. The pharmaceutical, chemical, and semiconductor industries with frequent patent litigation internationally have not produced a large number of repeated litigatedpatents in China. The phenomenon that repeated litigated patents concentrating in software industry and business methods domain in United States are also not obvious in China. Meanwhile, China has not yet been affected by repeated malicious litigations issued by overseas entities.Fourth, compare to the case in the United State in which the plaintiff always lose for the repeated litigated patent trials, the plaintiff with the repeated litigated patent is more likely to win the trial in China, especially for the injunction trial. Possible infringements in the market can be suppressed, but the amount of damages has not been positively correlated with the repeated litigated status. Fifth, the probability of plaintiff’s winning has significant regularity. The invention patent and the handling time have a negative correlation with the plaintiff's winning rate; the more the plaintiff initiated the lawsuit, the plaintiff is the enterprise, and the defendant is the non-enterprise, the plaintiff has a relatively higher winning rate. In addition, affected by the forum shopping effects, the plaintiff’s winning rate is also closely related to the choice of the trial court.This paper holds that the phenomena of repeated litigated patents are likely to be the strategic commercial behavior of domestic innovative companies to protect their own market, via targeting at retailers (or batch counterfeiters). On the one hand, it is related to collective infringement and repeated infringement in the production and sales sections in the traditional manufacturing industry in China. On the other hand, it also reflects the inefficiency in the judicial litigation system caused by repeated litigated patents. A well-functioning system design relies on high-quality patent output, a complete patent objection and infringement monitoring system, and a judicial compensation amount that can generate sufficient deterrent effect. Among them, the high patent quality raises the threshold for infringers to imitate patented technology, the high litigation costs and high compensation amounts can deter potential infringements, while also preventing unrestricted patent litigation. However, the repeated litigated patent litigations have undermined the formation of these mechanisms.The high-sue rate cases for the same patent frequently initiated in the Chinese patent civil litigation field indicate that the dispute itself is not ambiguous, and even no special procedures, techniques and knowledge are needed to judge the fault and breach of contract liability. In theory, the plaintiff will resort to the court only if he or she has a greater degree of confidence in his or her victory; when there is insufficient confidence in the judicial process, or the execution cost is too high, the plaintiff often does not resort to the court, and thus forms the adverse selection in the process of judicial case trial. When the adverse selection effect occurs, the plaintiff in some dispute cases may lose the trust for the national judicial system, and further promotes the strategic “knock-and-roll” behavior (the local strategic litigation behavior in China shows the feature of lower requirements for damages and using low-quality patents to exercise blackmail). Undoubtedly, this will also cause manufacturing companies to be affected by infringement charging, which in turn affects normal production and operation activities.Based on those empirical evidences, this paper proposes to strengthen the investigation and analysis of repeated litigation behaviors, and prevent a large number of repeated litigated patent cases, especially low-quality patent cases from flooding into the national judicial system, and formulating effective countermeasures. The first is to establish a unified handling mechanism for repeated litigated patent cases, improve the efficiency of handling similar cases, improve the trial jurisdiction system of professional intellectual property courts, and enhance the consistency of trial results. The second is to strengthen the effective connection between judicial and administrative patent enforcement, avoid the emergence of judicial adverse selection, actively adopt administrative means to effectively combat repeated infringement and malicious infringement, and steadily improve the actual amount of damages. The third is to vigorously cultivate professional market rights protection institutions, improve the arbitration mediation system, and build a four-in-one intellectual property dispute resolution mechanism including the judiciary, government, market as well as society, and create an institutional environment and market environment that is more comprehensive and more conducive to promote innovation.
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    A research on the construction of patent cooperation network of different models of technology-based SMEs and their influencing factors
    Wang Liying, Zhang Di
    2019, 40(4): 203-212. 
    Abstract ( 300 )  
    Patent cooperation network has become an important way for technology-based small and mid-sized enterprises (TSMEs) to break through the lack of innovation resources. At present, the patent cooperation relationship between TSMEs and multiple innovation entities has gradually changed to the proximity of social network. The keys to enhance innovation performance and manage patent cooperation network resources are to study the patent cooperation network mode characteristics and the influencing factors of TSMEs. In this regard, it is necessary to construct the network structure visualization by using more objective data of patent cooperation. Exploring the formation mechanism of patent cooperation network and analyzing the influence factors of different modes of patent cooperation network cooperative innovation degree are also essential. Ultimately, it can provide breakthroughs and development suggestions for TSMEs to obtain new resources and improve the ability of innovation by relying on the patent cooperation network. Whether TSMEs prefer to choose existing patent partners or different patent partners to cooperate extensively can affect the allocation of cooperative network resources and the adjustment of enterprises' corresponding capabilities. Current research lacks the distinction of patent cooperation networks under different enterprise-centered modes. Therefore,this paper classifies the patents cooperation network model of technology-based small and mid-sized enterprises from the perspective of self-centered network and the interaction of enterprise behavior and capability. The formation of inter-firm patent cooperation network and the sustainability of cooperation network are affected by different proximity. However, the existing studies neglect the intrinsic relationship of different proximity and the influence of their interaction. By distinguishing the cooperation situation of cooperation, like the breadth and depth of cooperation, this paper explores the key factors and the differences in their roles affecting the construction of patent cooperation network for technology-based small and mid-sized enterprises. In this study, 591 technology-based small and mid-sized enterprises belonging to the ICT industry and the pharmaceutical industry listed in Small and Medium Enterprise Board and Growth Enterprise Market are selected as the research objects. 5169 items of cooperation patents are effectively authorized.First of all, this study conducts dualistic structure division of the patent cooperation network using the breadth and depth of patent cooperation. According to their characteristics of patent cooperation, the technology-based small and mid-sized enterprises patent cooperation network is divided into four modes such as strong exploration patent cooperation network, strong utilization patent cooperation network, weak exploration patent cooperation network and weak utilization patent cooperation network. From the network topology characteristics, strong exploration patent cooperation network and strong utilization patent cooperation network is superior to the weak exploration patent cooperation network and weak utilization patent cooperation network.Then, this paper analyzes the influence and difference of cooperation innovation degree of different patents cooperation networks of three kinds of proximity which are geographical proximity, social proximity and technical accessibility. The empirical results show that geographical proximity in patent cooperation network formation plays a positive role in promoting. Geographical proximity can facilitate knowledge exchange between cooperative enterprises. In the process of innovation, enterprises can share the tacit knowledge they need. However, the regression coefficient of geographical proximity to the degree of cooperative innovation among patent cooperative enterprises is small. Therefore, it is not an important factor to improve the degree of cooperation and innovation among enterprises. This paper also finds that social proximity in the formation of patent cooperation networks plays a more important positive role than geographical proximity. By strengthening personnel exchanges among patent partners, the barriers caused by distance can be served by customers who can increase the frequency of cooperation and promote the degree of cooperation and innovation of enterprises. Although technological proximity can reduce the uncertainty of technical cooperation and strengthen the patent cooperation in specific technological areas, it hinders those technology-based enterprises which wish to improve their cooperative innovation ability by expanding the scope of patent cooperation. This is not conducive to those enterprises to carry out technological diversification of cooperative innovation. This study puts forward the following suggestions on the management and development of patent cooperation network resources for technology-based small and mid-sized enterprises: The first is to optimize the structure of patent cooperation network. It is indispensable to give full play to the positive impact of geographical proximity and social proximity on the degree of patent cooperative innovation network of technology-based small and mid-sized enterprises. Throughrelying on high-tech industrial clusters, it can promote the horizontal coupling between innovation chain and industrial chain. And through constructing a patent cooperation network platform, it can promote the vertical coupling between innovation chain and industry chain which be propitious to constantly gather innovative resources. Ultimately it hopes to enhance the degree of cooperative innovation of small and medium-sized technology-based enterprises. The second is to promote the development of multi-knowledge network embedding. This paper explores the patent cooperation resources that enterprises have not utilized and depend on the patentee or inventor linkage and patent technology linkage in patent cooperation network. The construction and application of multi-patent cooperation network model can help to play the role of patent strategy. It provides real-time and dynamic decision-making reference for enterprise patent R&D investment strategy, technology transfer strategy and commercialized innovation strategy. Third,this study expands the scope of enterprise patent cooperation. Strong exploratory patent cooperation network is the most obvious way to improve the innovation cooperation of enterprises. Therefore, the exchanges and cooperation among technology-based small and mid-sized enterprises should be strengthened. The government should help to widely publicize the policies of the state, provinces and regions on promoting intellectual property strategy. At the same time, the government should strengthen media propaganda and create a patent cooperation atmosphere. In this study, only ICT industry and pharmaceutical industry are selected. There are few industries involved which cause the conclusions limited. In the follow-up study, expanding the industrial research field is a scientific paradigm worthy of attention in order to continuously improve the patent cooperation network research.
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    Global knowledge search and enterprise innovation:The dilemma to choose a host country
    Tang Yihong, Yu Feng, Wang Xiaoyan
    2019, 40(4): 213-223. 
    Abstract ( 233 )  
     In the context of open innovation, enterprises conduct global knowledge search targeting suppliers, manufacturers, consumers, universities, competitors, etc., in order to capture potential innovative opportunities by obtaining external knowledge. Therefore, many scholars try to explain enterprise innovation based on global knowledge search strategy. However, there is still a debate on whether global knowledge search can promote enterprise innovation. Some researchers believe that global knowledge search can enrich the firm’s knowledge base and innovative thinking, force the firm to renew learning and innovation ability faced by intense global competition, and create synergistic effect with internal R & D. In contrast, some other researchers argue that global knowledge search is full of uncertainty and that excessive global knowledge search hinders firm’ innovation performance. As such, some scholars break through the hypothesis of linear relationship between global knowledge searches and firm innovation, emphasizing that there is an inverted U-shaped relationship between them. They assumed that most of the existing studies only focus on whether global knowledge search affects enterprise innovation or not, ignoring the different impact of different scenarios and contingency factors on the relationship between them, that is, “how to influence" is rarely studied as an entry point. In this regard, we take China, the largest emerging economy, as the subject to explore the relationship between global knowledge search and Chinese enterprise innovation from a micro perspective. More importantly, the moderating effect of host country institution on the relationship between global knowledge search and firm innovation performance was emphasized, so as to clarify "how global knowledge search affect firm innovation".In the present study, the host country institution was divided into formal institution and informal institution according to previous literatures. The formal institution includes the legal rules and supervision quality which are directly related to the external search cost;and the informal institution contains the power distance and long-term orientation in the cultural system which influences the search efficiency and innovation performance by affecting the communication mechanism and cooperation stability. Therefore, this paper takes legal rules and regulatory quality, power distance and long-term orientation as proxy indicators of the formal and informal institutions respectively, to explore the moderating effect of host countries institutional factors in the relationship between global knowledge search and firm innovation performance, which contribute to enrich empirical evidence for open innovation theory. To do so, we combined the Chinese firm innovation data between 2008 and 2011 from the Ministry of Science and Technology, World Bank’s Governance Indicators and Hofstede’s cultural scores. By referring to Wang et al and Kafouros et al, we built our empirical model. The results show a significantly positive effect of global knowledge search on firm innovation performance, but there is no evidence of an inverted U-shaped relationship as prior research suggested. The reason may be that the external search of Chinese enterprises has not reached such a scale to hinder firm’s innovation, which is still in the rising stage of the overall inverted U-shaped relationship curve,or the negative effect can be overcome, leading to the "turning point" postponed or even disappeared. The results suggest that the "going out" strategy pursued by the Chinese government is reasonable and effective. Furthermore, by introducing the institutional factors of the host country into our model, we searched their regulatory effects. From the formal institution perspective, it can be found that rule of law and regulatory quality negatively moderate the positive effect of global knowledge search. From the informal institution perspective, long-term orientation moderates it positively, while power distance shows no significant moderating effect. The possible reason is that the host country with high power distance is similar to China's centralized cultural characteristics, so Chinese enterprises relying on political connections are not susceptible to the influence of power distance. On the contrary, they can be familiar with the overseas environment based on similar domestic business experience, thus overcoming the negative influence of power distance and acquiring knowledge and technology from overseas. This reflects that the existence of Chinese-style "relationship network", "government-enterprise relationship" and "centralization" leads to the Chinese-style innovation mode quite different from the Western economies. Through the choice of the host country, Chinese enterprises have effectively used their special advantages, which has delayed the “turning point” and provided a possible answer to the non-linear conclusions of global knowledge search. In addition, by using other independent and dependent proxy variables, introducing the applied patent number of domestic countries with oversea research and development centers as instrument variant, performing a variety of estimation methods, the regression results remain to be robust. To determine the effect of global knowledge search on innovation quality, we further divided the patent into three types, including patent for invention, patent for utility models, and design patent. According to their technology levels, the high-tech patent, patent forinvention, was regarded as disruptive innovation, while the low-tech patent, patent for utility models and design patent, was summarized as incremental innovation. As expected, global knowledge search promotes more incremental innovation rather than disruptive innovation in the current context of host-country institution. In the future, it still requires internal R&D strength and overall knowledge fusion to promote disruptive innovation. By searching the effect of global knowledge search on firm’s innovation performance, we found that the "turning point" of China's open innovation has been put off, which means that global knowledge search still has space for innovation bonus in China. From the institutional perspective, this paper explores the moderating institutional factors, providing policy suggestions in the future. Firstly, the location layout of Chinese enterprises' global knowledge search strategy should break through the traditional thinking of selecting developed economies with complete system and advanced technology. In contrast, selecting host countries with similar institutional characteristics, and making full use of the mode of "relationship network" and "government-enterprise relationship” to host countries are important. Secondly, global knowledge search mainly promotes incremental innovation, but the development of Chinese enterprises' R&D capabilities cannot be ignored. It is more vital to emphasize enterprises' independent innovation capabilities in order to promote the disruptive innovation.
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    A study of the impact of repatriation adjustment on repatriates’ innovation behavior
    Wang Juanru, Yang Jin
    2019, 40(4): 224-232. 
    Abstract ( 254 )  
    Repatriation adjustment is the readjustment of expatriates after they return to the parent enterprise. Expatriates need experience readjustment process due to cross cultural influence. However, repatriation adjustment is often ignored by Multinational Corporations, and result in the phenomenon that the repatriates' creativity and innovation capability cannot be effectively utilized. Therefore, it is necessary to uncover the impact mechanism of repatriation adjustment on repatriates' innovation behavior.We first analyze the meaning of repatriation adjustment, and classify repatriation adjustment into three dimensions, which are work adjustment,interaction adjustment and general adjustment. Specifically, work adjustment is the degree that repatriates adapt to the assigned work or task, and interaction adjustment is the degree that repatriates adapt to the interpersonal relationships with other employees, while general adjustment refers to the adaption of repatriates to the non-working environment. Second, we discuss the theoretical background and hypotheses, and put forwarded eleven hypotheses and a moderated mediation model. On the one hand, we analyze the impact of work adjustment, interaction adjustment and general adjustment on repatriates' innovation behavior, and suggest that three dimensions of repatriation adjustment are all positively related to repatriates' innovation behavior. On the other hand, we explore the mediation role of knowledge transfer as well as the moderation role of creative self-efficacy in the relationships between repatriation adjustment and repatriates' innovation behavior, and then we propose that knowledge transfer mediates the links of work adjustment, interaction adjustment, general adjustment and repatriates' innovation behavior, and creative self-efficacy moderates the relationship between knowledge transfer and repatriates' innovation behavior. Third, in order to examine the hypotheses, we conduct an empirical study, and issue the questionnaires to 300 repatriates and their 53 leaders coming from 20 Multinational Corporations in China. We receive 197 matching questionnaires, after deleting the incomplete ones, we obtain 160 valid questionnaires. By conducting confirmatory factor analysis, the discriminant validity are assessed, and variable's mean, standard deviation and correlations are calculated, and then, hierarchical regression analyses are applied to examine the main effect, mediating effect and moderating effect, while bootstrapping method are used to prove the moderated mediation effect. Lastly,the results confirm that work adjustment, interaction adjustment and general adjustment are the important antecedents of repatriates' knowledge transfer, and they all have significant positive effect on knowledge transfer, while knowledge transfer in turn has significant positive impact on repatriates' innovation behavior. Moreover, the results indicate that knowledge transfer plays a partial mediation role between work adjustment, interaction adjustment, general adjustment and repatriates' innovation behavior. Therefore, work adjustment, interaction adjustment, general adjustment not only have direct impact on repatriates' innovation behavior, but also have indirect effect on repatriates' innovation behavior via the mediation of knowledge transfer. This result, on the one hand, expands the existing research about the relationship between repatriation adjustment and repatriates' innovation behavior, and enriches the repatriation theory of Multinational Corporations; on the other hand, further proves that repatriation adjustment plays a vital role in facilitating repatriates' innovation behavior, and uncover the black box that how three dimensions of repatriation adjustment promote repatriates' innovation behavior through the mediation of knowledge transfer. Furthermore,from the perspective of social cognitive theory, we take the psychological factor of creative self-efficacy as a moderator variable. The results show that creative self-efficacy plays moderation role in the relationship between knowledge transfer and repatriates' innovation behavior, and moderates the mediated relationships between each dimensions of repatriation adjustment and repatriates' innovation behavior via knowledge transfer. This means that knowledge transfer can facilitate repatriates' innovation behavior, but knowledge transfer alone cannot lead to innovation. Therefore, the innovation behavior can occur only when repatriates are willing to transfer knowledge and have high creative self-efficacy. The result will further expand the existing research on innovation behavior, and reveal the boundary condition that how creative self-efficacy affects on innovation behavior.
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    Comparison of behavioral patterns of knowledge-experts participation in changes of national ambient air quality standard policy in China and America
    Sun Yan, Liu Hongyan
    2019, 40(4): 233-244. 
    Abstract ( 144 )  
    Since the 1960s, the Chinese government has issued multiple versions of Air Quality Standards Policy and related policies, in which experts frequently participated. As an important role in the policy subsystem, experts are one of the important factors influencing the change of public policy, in which the characteristics and behavioral patterns of expert participation, including the size, manner and result are all worth thinking about.This paper uses the comparative case study method, summarizes and compares the evolution of Air Quality Standard Policy between China and the United States, and analyses the behavioral patterns of expert participation and its impact on the process of Air Quality Standard Policy changes to find out the differences between two countries, which will provide some theoretical supports for the effective expert participation in the field of environmental policy in China.It is found that the behavioral patterns of linear access and outside-in enlightenment exist in the two stages of policy change. However, there are also behavioral patterns of deprofessionalized campaign, and locked-out in each stage. Moreover, in the United States, the two patterns of linear access and outside-in enlightenment are basically balanced, while it is more stable to promote endogenous learning through the behavioral patterns of linear access to promote policy process in China. More generally, there are some similar effects brought about by expert participation on the process of Air Quality Standard Policy changes between two countries. However, the effect of expert participation in China has its own unique characteristics.First of all, expert participation is mainly based on the behavioral pattern of linear access, and it is different from the US where the behavioral pattern of outside-in enlightenment is the main one, which is inconsistent with previous research conclusions, the main reason is that Chinese policymakers pay more attention to the opinions of experts and stipulate the necessity of expert participation in relevant policies and laws. The behavioral pattern of linear access of expert participation can quickly and effectively influence policy-making and decision-making, however, under these circumstances, only a small range of experts can take effect, which leads to the result of more external experts lack effective ways or paths to participate in the policy process.Secondly, experts mainly promote endogenous policy learning and the transformation of secondary policy beliefs, which is particularly obvious in the first three stages of policy change, and only in the last stage, experts discussed and appealed for air pollution issues by publishing research results to the society, which showed the role of promoting social learning so as to promote the change of policy core belief system of policymakers.Thirdly, the composition types of expert participation tend to be diversified. With the democratization of policy concepts, more experts from non-governmental organizations joined in policy research. Along with the development of new media and social network, more experts participate in the policy process to respond to the requirement of scientific and democratic decision-making. Additionally, in the form of individuals, experts mostly play an important role in policy change in China, while American think tanks, as an important form of expert group, have a more profound and systematic impact on policy.The fourth point is that the ability of expert participation is still insufficient, and their role orientation is not clear. In the progress of Air Quality Standard Policy changes, the experts in China lacks the research on air quality standards with considering a more cutting-edge perspective and practical significance of long-term social development.Finally, the path and effect of expert participation lacks the guarantee of legal system, which caused that experts could not have a systematic and stable impact on environmental policy.This paper suggests that the government should continue promoting policy initiative change through encouraging the linear access of expert participation with forward-looking and sustained research, and constantly improve Air Quality Standards Policy and related policies so as to ensure long-term improvement of air quality. Meanwhile, experts need to fully understand the position and responsibilities of self-roles in environmental policy system, and actively explore effective strategies of policy participation.
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    Influence of prevention focus and motivational climate on knowledge hiding in enterprises
    Li Hao, Lv Luanluan
    2019, 40(4): 245-255. 
    Abstract ( 304 )  
    Knowledge hiding is the intentional concealment behavior when employees face knowledge request, and it inhibits innovation and weakens organizational performance. Knowledge hiding and knowledge sharing are not completely opposite, and they are two independent concepts. The sharing emphasizes a voluntary behavior and actively shares knowledge. Lack of knowledge sharing may be due to lack of relevant knowledge. Actual observations show that employees may exhibit knowledge sharing and knowledge hiding behavior at the same time. Knowledge hiding has the characteristics of low reporting rate. Individuals who use knowledge hiding are often reluctant to be found by their own hidden intentions, such as workplace infringements. Many incentives that encourage employees to contribute knowledge are adopted, but they do not promote employee knowledge sharing intentions. Employees believe that hidden knowledge is more beneficial than sharing knowledge.The most fundamental motivation for individuals to hide knowledge comes from the protection of their own interests, because loss of knowledge is likely to weaken their competitive advantage. From the perspective of profit-seeking and avoiding harm, this study finds that regulatory focus theory will provide important clues and theoretical support for revealing the essential motivation of knowledge hiding. Regulatory focus theory divides the basic motivations of behavior into two types: one is promotion focus, the pursuit of achievement, to focus on achieving positive results, and the other is prevention focus, to pursue safety, to avoid negative consequences. Different focus can lead to important differences in individual behavior and profit-avoiding choices.Prevention focus employees in the organization are more focused on pursuing security and avoiding losses, so they may carefully control and retain knowledge, trying to maintain their competitive advantage by owning and controlling knowledge information, avoiding risks and maintaining stability. Helping others with knowledge requests is risky and may lose their competitive advantage, so prevention focus employees are more motivated to hide knowledge. Prevention focus has both traits and contextual characteristics, and is regulated by organizational strategies. Therefore, this study uses prevention focus as an important antecedent variable that affects knowledge hiding in organizations.Motivation is to be fermented in a certain atmosphere, and the motivational climate regulates the influence of motivation on behavior. Motivational climate in the workplace is a common view of employees' existing standards of success and failure. The feeling of this kind of climate will help employees understand what kind of behavioris organizational expectations and rewards, including mastery climate and performance climate. Mastery climate is a climate that emphasizes learning, cooperation, and establishes the concept of common destiny of employees. Employees will attach importance to common interests and choose to share their insights and lessons learned, rather than hiding knowledge. In the mastery climate, knowledge hiding behavior may not receive corresponding returns, negative reciprocity is not conducive to group achievement, and employees do not have to worry about the loss of sharing knowledge, even for prevention focus employees, the mastery climate will weaken the impact on knowledge hiding. In the performance climate, social comparison and team competition are valued, and knowledge hiding may give employees a competitive advantage and a chance to win. In order to avoid potential harm, the directional employees are more inclined to maximize their own interests by hiding knowledge. The performance climate strengthens the influence of prevention focus on knowledge hiding. Therefore, the motivational climate was chosen as the adjustment variable of the knowledge hiding in the research.Therefore, the problem that needs to be solved urgently is to find out the reasons for failure of knowledge sharing from the source, and to reveal the motives and main influencing factors of knowledge hiding. In order to solve this problem, this paper takes knowledge hiding in the enterprise as the dependent variable, prevention focus as the independent variable, mastery climate and performance climate as the adjustment variable, and constructs the research model. This paper uses empirical research methods to test hypotheses through large sample analysis and obtain conclusions.The study affirmed the prevention focus can promote the knowledge hiding, and the performance climate can enhance the impact to knowledge hiding by prevention focus. The moderating effect of weak performance climate and strong performance climate change with prevention focus changing. Mastery climate can weaken the effect to knowledge hiding by prevention focus. When the prevention focus is lower, strong mastery climate play a greater moderating role. Weak mastery climate can play more obvious role when the prevention focus is higher. There is a tendency for performance climate and mastery climate to counteract each other. When there are two kinds of motivational climates simultaneously in an organization, their roles will be weakened.This study attempts to explore the reasons for the possible failure of knowledge transfer from the source, revealing the individual motivation and motivational climate of employees' hidden knowledge, which will promote the development of knowledge management and knowledge transfer theory. Most of the existing researches on knowledge transfer and sharing are based on the assumption that knowledge output is effective, and analyze the process, mechanism and influencing factors of knowledge transfer from the output to the input and integration by the inputers. The knowledge output may be reluctant. This study intends to reveal the knowledge hiding motives and their influencing factors in enterprises, subvert the assumptions that are too far-fetched and provide new theoretical ideas so as to link and integrate knowledge management theory and motivation theory and to expand the regulatory focus theory from the individual level to the organizational level. The research conclusions also have practical practicality, which provides theoretical guidance for the organization's design of employee knowledge sharing strategies and methods. The employee defense focus, which is the motivation of knowledge hiding individual, is regulated by organizational strategy. The research conclusions will also provide theoretical support for the organization to regulate employee motivation and foster mastery atmosphere. Based on the research, some meaningful follow-up studies can be carried out, which can further summarize the stimulating factors of situational promotion focus and prevention focus, as well as the process and mechanism of the influence of these factors on situational regulatory focus.
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    A research on process optimization of S&T planning projects management based on ESIA
    Yang Haiyan, Li Lei, Han Fei
    2019, 40(4): 256-263. 
    Abstract ( 353 )  
    Science and technology planning projects are the basic form of scientific research and technology development activities organized by the government. It is an effective means to make up for the lack of market for scientific research, rationally allocate scientific and technological resources, and promote scientific and technological progress, economic and social development. The core task of science and technology planning projects management is to ensure the smooth implementation of the projects, achieve the goals and tasks, and finally achieve the goals of the science and technology development plan. With the development of society and science and technology progress, the current management mode of science and technology planning project has shown many inadaptability to the new situation and new requirements, problems such as low management efficiency and frequent management loopholes are constantly exposed, profoundly affecting national and regional scientific and technological development, it is urgent to reform the current management mode and method of science and technology planning projects.Aiming at series problems existing in the management of Shaanxi science and technology planning projects, such as management phase deficiency of the top-level design and the achievement transformation and promotion; management department positioning error, inadequate macro management, too much attention to micro management; low management efficiency and repetitive, non-standard management phenomenon; lag of e-government, the one-stop service model has not been implemented; etc. in order to reform traditional management mechanisms and management methods, under the background of Shaanxi province science and technology business integrated management system construction.A solution is proposed, which is to optimize the management process of science and technology planning project based on ESIA method, the goal is to achieve scientific management and the best management efficiency. In this study, under the three major changes, namely, the redivision of responsibilities of management subjects, the redefinition of management phase and the construction of big data, the roles, links and contents of existing processes are comprehensively optimized by means of cancellation, simplification, integration and automation.Cancellation means to reduce or cancel direct micro-management of science and technology departments and concentrate on strengthening macro-management, give full play to the role of experts and professional organizations in the projects management, introduce third-party professional organizations into the management, and the micro-level management will be changed from direct management of science and technology departments to management of third-party professional organizations. Simplification means to adopt parallel process and other means, for example, to issue solicitation and project approval notices through the Internet, managers at all levels with authority and project applicants can receive information synchronously, instead of being conveyed layer by layer. At the same time, the joint work mode is adopted to eliminate repeated inspections, reduce management costs, and reduce unnecessary interference to the project side. Integration means to integrate top-level design and achievement transformation and promotion into the management process, in other words, the whole process of science and technology planning project management should include four stages: top-level design, project collection, project implementation and achievement transformation, and each stage is composed of a number of links. Automation means to introduce the form of "Internet + e-government", comprehensively promote the construction of big data to ensure that the management system can give full play to its role by building large databases of projects, achievements, assets, funds, technology transactions, policies, administrative management, etc, process-based project management is truly realized.In this paper, ESIA method was used for process optimization. this method is determined to be adopted according to the actual demand of the system construction after comparing various process optimization methods,include benchmarking method, DMAIC model, ESIA method, ECRS method, SDCA cycle, PDCA cycle and so on. ESIA is a process optimization method based on improved content, it improves the existing process by cancelling, simplifying, integrating and automating four steps, reducing non-value-added or invalid activities in the process, adjusting core value-added activities, and realizing process automation, comparing and demonstrating the original process and the optimized process through the form of the swim-lane diagram. Swim-lane diagram is to organize the activities in the process according to the responsibilities, and in the diagram the vertical axis is department function while the horizontal axis is post link so that this gives a clear indication which department is conducting which actions, and give a convenient description of various business processes, and describe vertically the logical relationships between the activities of the system, and understand the business logic.Science and technology planning project management process optimization is the management department of Shaanxi province to respond to the new era of science and technology management reform requirements, and it is a concrete project to reform the traditional management mechanism and mode. This renovation, by introducing management stages and links such as top-level design and achievement transformation and promotion, realizes the whole process hierarchical management of science and technology planning project from macro level to micro level, which belongs to different management subjects; through the construction of big data, replacing manual work with informatization, the scale of organization has been greatly reduced, the degree of workflow automation has made a qualitative leap; through the change of management concept, part of the business process is changed from series to parallel, so that the collaboration ability is improved and the process processing speed is greatly accelerated; through the adjustment of the responsibility and division of labor of the responsible subject, the responsibilities of the management subject are more clear, and the repetitive and inefficient work content is greatly reduced. As a result, the management is more scientific and standardized.Process optimization is an operational mode to improve the efficiency of public management. Process optimization is to reshape the management process through process orientation which is not equivalent to a simple business integration, but a cycle of reflection, change and re-reflection, re-change of management subject, management function, management mode and management process based on the process. In the process optimization design, the management responsibility subject and its responsibility division should be clearly defined, and the macro and micro management should be separated. At the same time, integrity should be fully considered, not only to determine the starting point and end point, but also to grasp the middle node.
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    A comprehensive evaluation of academic influence of university researchers based on altmetrics
    Wang Feifei, Liu Jiayu, Jia Chenran
    2019, 40(4): 264-276. 
    Abstract ( 234 )  
    There is a growing body of literature that recognizes the importance of academic influence comprehensive evaluation. Evidence suggests that academic influence comprehensive evaluation of university researchers is among the practically important factors for promoting the overall development of the nation, ensuring appropriate systems of universities and supporting for university researchers.  Lack of rationality and comprehensiveness of scientific evaluation has existed as a major problem for many years. A considerable amount of literature has been published on Science Research Management. These studies explore in practice to figure out the development trend of comprehensive evaluation of academic influence energetically. In the scientific 2.0 era, it is one of the most widely indispensable way to demonstrate that data from several sources have identified the increased the traditional measurement indicators and Altmetrics indicators associated with achieving a more comprehensive and confirming the effectiveness of evaluation. Scholars have long debated the impact of academic influence on the creation and diffusion of Altmetrics indicators. The research to date has tended to focus on traditional measurement dimension rather than Altmetrics dimension. Recent developments in the field of the central issue have led to a renewed interest in Altmetrics. The study was conducted in the form of a survey, with data of the Beijing University of Technology researchers as an example being gathered via the ResearchGate website emerged as a powerful platform for social and intellectual needs. In addition, the network media platform has been thought of as a key factor in the data of influence indicator of university researchers. A combination of quantitative and qualitative approaches was used in the data analysis. The approach to empirical research adopted for this study was one of classical comprehensive evaluation methods. The central thesis of this paper is that using principal component analysis method to build indicators system and evaluation model, the solution was then assayed for evaluation using empowerment act. This paper describes the design and implementation of constructing evaluation system and accurately implementing evaluation. Therefore, it makes a major contribution to put forward the corresponding countermeasures by analyzing the concrete evaluation results. This study provides new insight into improving the evaluation system of university teachers' scientific research.On the one hand, it proves the feasibility and necessity of using Research Gate as an academic social platform to evaluate the academic influence of university researchers. On the other hand, considering the particularity of the evaluation object and the diversity of evaluation dimensions, the platform provides basic data as the carrier to build an appropriate evaluation index system, and effectively deal with these indicators (correlation analysis,principal component analysis) as a measurement tool and empowerment. The evaluation results are explanatory and scientific, reflecting the level of academic competence and academic exchanges of the evaluation objects, and evaluating outstanding academic leaders and researchers with potential for development. Based on the academic exchange behavior on the website platform, scientific researchers produce corresponding Substitution Measurement Index data, which combines with the traditional academic influence evaluation dimension. It is helpful to comprehensively understand the research results and exchange cooperation of university scientific researchers, so as to evaluate their comprehensive academic influence. To grasp the academic influence of scientific researchers in macro level, promote academic exchanges and enhance academic ability in micro level, form a healthy and positive academic research atmosphere, and promote the steady development of scientific research undertakings.Under the environment of increasing promotion of Web 2.0 social media platform, aiming at the construction of evaluation system, the main conclusions are as follows: this paper provides valuable reference for the future application of alternative metrology to academic impact evaluation more fully, and proves that index fusion can achieve more ideal and objective evaluation results. In addition, the introduction of skyline algorithm also expands the idea for the rational use of information obtained from the network academic exchange platform.Comprehensive evaluation based on academic interactive media is imperative. Therefore, it is necessary to further encourage and stimulate scientific researchers to interact and share research results in academic media. On the one hand, it can promote more comprehensive and timely scientific exchanges and stimulate innovation, on the other hand, it can also provide data soil for scientific research managers to conduct comprehensive academic evaluation.This study systematically reviews the data for academic influence of university scientific researchers, aiming to provide the applicability and effectiveness of the evaluation model. Due to practical constraints such as particularity of the example, this paper cannot provide a comprehensive review of the overall situation of colleges and universities.
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    Internationalization performance evaluation of business education
    2019, 40(4): 277-288. 
    Abstract ( 255 )  
     In the context of globalization, there is an increasing need of people with international vision as the communication of personnel between countries is more frequent. Universities are major institutions to train such people. The internationalization performance of their education is closely related to the quality of education and the level of talents, so improving the performance is important not only for educational institutions, but also for countries. However, most studies in this field focused on the evaluation system or indicators of internationalization of education, as many of them taking international communication and cooperation and internationalization of courses as key subjects. Besides, many researchers investigated the influence factors and analyzed the corresponding strategy, implementation and resources of schools. As for performance evaluation, most studies adopted surveys, interviews and case studies. It can be found that relevant studies tend to be incomprehensive and unrepresentative qualitative analyses of specific indicators and determinants, which failed to identify the front runners and direct the underperformed schools accordingly. In this paper we intend to address those limitations by practicing a systematic analysis from the definition, then the indicators system, finally to the performance evaluation. Researchers have tried to give general definition of internationalization of education with different emphasis but few have focused on its definition for specific disciplines. Particularly, business is at the top of all internationalized disciplines. Thus it is representative to study internationalization of education from this discipline. In our previous study, we proposed the concept of internationalization of business education with two-way communication and exchange at its core. Our research in this paper follows this idea. We then refine the evaluation indicator system of internationalization of higher education established in our previous work by taking the characteristics of business education into account and develop the indicator system of business education, which incorporates seven qualitative and fifteen quantitative indicators from five dimensions: strategy (1), teaching (2), research (3), management (4) and people (5). The indicators are as follows: establish the office of international affairs and programs (1-1), percentage of international communication and cooperation budget in total budget of the school (1-2), number of cooperation agreements signed with foreign institutions (1-3), percentage of courses taught in foreign language (2-1), percentage of courses using original foreign textbooks (2-2), implement credit and grade conversion with foreign universities (2-3), percentage of students going abroad (2-4), number of joint programs with foreign universities (2-5), percentage of staff attending international conferences during the last academic year (3-1), number of papers published in SCI,SSCI,EI and ISTP journals during the last academic year (3-2), percentage of staff been abroad for over six months during the last academic year (3-3),take internationalization as an evaluation factor of staff promotion and titles (4-1), make rules and regulations on overseas visit and study of staff and students (4-2), make policies and rules to encourage international exchanges of students and overseas visit of staff (4-3), provide abundant foreign books, journals and electronic learning resources (4-4), create a good internationalized atmosphere (4-5), percentage of international faculty (5-1), percentage of international students (5-2), number of people in charge of international affairs (5-3), number of visiting guests(not including students) from overseas during the last academic year (5-4), number of foreign visiting professors for communication during the last academic year (5-5), number of staff with overseas experiences (5-6). We then take 32 Chinese business schools and 16 foreign business schools as research sample and conduct surveys and field studies in sample schools to collect data. Among performance evaluation methods, Data Envelopment Analysis (DEA) can provide the direction for efficiency improvement through comparison with an efficient set of Decision Making Units (DMUs). Therefore, we adopt input-normalized DEA model to evaluate their performance from five dimensions respectively. Due to statistical difficulties of two indicators in teaching, sample schools are required to give interval data. Therefore, two DEA models are applied in the dimension of teaching with one calculating the lower bound of efficiency and the other the upper bound. In the dimension of strategy, Chinese business schools underperform due to fewer signed cooperation agreements with foreign institutions. In the dimension of teaching, Chinese business schools lag behind noticeably. Two foreign schools rank first when considering the lower bound of efficiency and three more foreign schools top the rankings when considering the upper bound of efficiency. By contrast, the rankings of Chinese business schools barely change in the two calculations. Their performance loss results from lower percentage of courses taught in foreign language, lower percentage of courses using original foreign textbooks and fewer joint programs with foreign universities. In the dimension of research, Chinese business schools outperform, which can be attributed to more articles published in leading indexed journals during last academic year. Increasing emphasis on research from Chinese universities can account for the result. In the dimension of management, there is no big difference between Chinese and foreign business schools. Most underperformed schools do not take internationalization as an evaluation factor of staff, while others lack abundant learning resources and internationalized atmosphere. In the dimension of people, the performance of Chinese and foreign business schools is similar. Compared with foreign ones, Chinese business schools encounter polarization and have lower proportion of international staff. Based on the evaluation results, we find that there is no big difference of internationalization performance between Chinese and foreign business schools in terms of management and people. Compared with their foreign counterparts, Chinese business schools perform better in research, but underperform in strategy and teaching, especially showing obvious weakness in teaching. In light of the performance loss of Chinese business schools, the suggestions for them to improve are given as follows: first, taking advantage of regional education resources and actively cooperating with foreign business schools; second, deepening the internationalization of courses by encouraging teaching with foreign language and textbooks while promoting joint programs; third, taking internationalization into account in the evaluation and promotion of staff, providing abundant learning resources in the school and creating internationalized atmosphere; last, attracting more foreign teachers and therefore increasing their proportion in the staff.
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